Statistical and Data-Driven Methods for Additive Manufacturing Qualification: Proceedings of a Workshop (2024)

Chapter: Appendix B: Biographical Information for Workshop Planning Committee Members and Speakers

Previous Chapter: Appendix A: Public Meeting Agenda
Suggested Citation: "Appendix B: Biographical Information for Workshop Planning Committee Members and Speakers." National Academies of Sciences, Engineering, and Medicine. 2024. Statistical and Data-Driven Methods for Additive Manufacturing Qualification: Proceedings of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/27939.

Appendix B

Biographical Information for Workshop Planning Committee Members and Speakers

WORKSHOP PLANNING COMMITTEE

THOMAS R. KURFESS, Chair, is the HUSCO/Ramirez Distinguished Chair in Fluid Power and Motion Control and a professor of mechanical engineering at the Georgia Institute of Technology. From 2019–2021, Dr. Kurfess was on leave serving as the chief manufacturing officer and the founding director for the Manufacturing Science Division at Oak Ridge National Laboratory (ORNL), where he was responsible for strategic planning in advanced manufacturing. From 2012–2013, he was on leave serving as the assistant director for advanced manufacturing at the Office of Science and Technology Policy in the Executive Office of the President of the United States. Dr. Kurfess was the president of the Society of Manufacturing Engineers (SME) in 2018, and currently serves on the board of governors of the American Society of Mechanical Engineers (ASME). His research focuses on the design and development of advanced manufacturing systems targeting secure digital manufacturing, additive and subtractive processes, and large-scale production enterprises. Dr. Kurfess is a member of the National Academy of Engineering (NAE) and is a fellow of ASME, the American Association for the Advancement of Science (AAAS), and SME. He received his SB, SM, and PhD in mechanical engineering from the Massachusetts Institute of Technology (MIT) in 1986, 1987, and 1989, respectively. He also received an SM from MIT in electrical engineering and computer science in 1988.

Suggested Citation: "Appendix B: Biographical Information for Workshop Planning Committee Members and Speakers." National Academies of Sciences, Engineering, and Medicine. 2024. Statistical and Data-Driven Methods for Additive Manufacturing Qualification: Proceedings of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/27939.

WEI CHEN is the Wilson-Cook Chair Professor in Engineering Design at Northwestern University and on the faculty in the Department of Mechanical Engineering. As the director of the Integrated Design Automation Laboratory, Dr. Chen’s current research involves issues such as simulation-based design under uncertainty, model validation and uncertainty quantification, data science in design and advanced manufacturing, stochastic multiscale analysis and materials design, design of metamaterials, multidisciplinary design optimization, consumer choice modeling, and decision-based design. She is the co-founder and director of the interdisciplinary doctoral cluster in Predictive Science and Engineering Design and serves as the co-director for the design cluster affiliated with the Segal Design Institute at Northwestern. Dr. Chen received her PhD in mechanical engineering from the Georgia Institute of Technology in 1995. She is an elected member of the NAE (2019).

TERESA CLEMENT is a senior principal systems engineer at Raytheon. Previously at Raytheon, Dr. Clement served as the corporate technology area director for mechanical, materials, and structures as well as value stream manager. She has also been the chair of the governance board and executive committee for America Makes (the National Additive Manufacturing Innovation Institute). Dr. Clement has several patents to her name. She earned her BSE in 2002 and her PhD in 2007 in materials science engineering, both from Arizona State University. She has also been a graduate research assistant at Arizona State University, a graduate intern at Sandia National Laboratories (SNL), and an undergraduate intern at Motorola Semiconductor Corporation.

MARIA EMELIANENKO is a professor at George Mason University. Dr. Emelianenko is an interdisciplinary mathematician whose work is focused on applying mathematical theory to a wide range of applied problems. She serves as the director of the industrial immersion program and the director of graduate studies in the mathematics department. Dr. Emelianenko’s current research lies at the interface between mathematics and other areas of science and engineering, such as materials science, chemistry, and biology. She has developed new predictive models and simulations for smart materials design and designed fast data analysis algorithms in collaboration with interdisciplinary colleagues. Her research is problem-driven and utilizes a wide spectrum of mathematical tools from optimization, numerical analysis, stochastic processes, partial differential equations, and statistics.

ERIC FODRAN is a manufacturing engineer and metallurgist in the Manufacturing Technologies Innovation organization within the Northrop

Suggested Citation: "Appendix B: Biographical Information for Workshop Planning Committee Members and Speakers." National Academies of Sciences, Engineering, and Medicine. 2024. Statistical and Data-Driven Methods for Additive Manufacturing Qualification: Proceedings of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/27939.

Grumman Corporation in Southern California. Dr. Fodran has been supporting research and development (R&D) efforts in manufacturing technology innovation as well as advanced materials and process development organizations for the past 20 years on several aircraft platforms, including F-35, F-18, B-2, T-38, as well as classified future air and space systems. His focus has been predominantly in the areas of additive manufacturing (AM), structural materials fabrication and processing methods, as well as corrosion prevention and high-temperature thermal protection systems. Dr. Fodran’s practical experience has also been based in lunar rover metallic materials while at the NASA Jet Propulsion Facility, and his previous R&D background has been in a diverse spectrum of processes and materials, including elevated temperature aluminum-based alloys and intermetallics, rapid solidification processing methods, and amorphous bulk materials for structural applications.

MIKE HALEY is the senior vice president of research at Autodesk, Inc. Mr. Haley leads the world-class Autodesk Research group, uncovering how new technologies can transform the ways its customers design and make the world around us while also responding to challenging concerns like climate change, automation, and industry convergence. The Autodesk Research team consists of academic research (artificial intelligence [AI], human–computer interaction, simulation and systems, optimization, geometry, visualization, and robotics), industry research (design, manufacturing, architecture, infrastructure, construction, and media), strategic foresight, and technology centers that enable collaboration with customers and partners on the future of design and making. All these functions come together to create a multidisciplinary and integrated research and foresight function that guides Autodesk’s future technology, product strategy, and product capabilities. In addition, with a background in machine learning, Mr. Haley leads Autodesk’s efforts in generative AI. He has led many technology and product transformation efforts at Autodesk. He established and directed Autodesk’s machine learning (ML) competency by establishing its AI Lab. Prior to that, he led the early development of Autodesk’s cloud technology and infrastructure. Mr. Haley has a background in computer graphics, ML, distributed systems, and mathematical analysis. He holds an MS in computer science from the University of Cape Town, South Africa.

ADE MAKINDE is the principal simulation engineer at VulcanForms, Inc., a manufacturer of AM machines. Previously, Dr. Makinde was a principal engineer at the GE Global Research Center. In this role, he supervised researchers in the use of finite element analysis, computational fluid dynamics, and the development of specialized numerical

Suggested Citation: "Appendix B: Biographical Information for Workshop Planning Committee Members and Speakers." National Academies of Sciences, Engineering, and Medicine. 2024. Statistical and Data-Driven Methods for Additive Manufacturing Qualification: Proceedings of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/27939.

and microstructural tools to optimize manufacturing processes and part design for manufacturability. He was also part of the management staff responsible for overseeing the development of analytical tools and processes to aid the design of new products and parts for all of GE’s businesses. Dr. Makinde worked closely with GE’s suppliers, using analytical tools to solve time-sensitive technical issues and to ensure that yield and quality targets were met.

RALPH G. NUZZO is the G.L. Clark Professor of Chemistry Emeritus at the University of Illinois at Urbana-Champaign. Until 2022, Dr. Nuzzo was the G.L. Clark Professor of Chemistry at the University of Illinois at Urbana-Champaign, a faculty he joined in 1991 and where he also held an appointment as a professor of materials science and engineering. In 2014, he was appointed as an affiliated member of the chemistry faculty at the KTH Royal Institute of Technology in Stockholm, Sweden. Dr. Nuzzo served as a faculty associate in applied physics and materials science at the California Institute of Technology, where he served as the director of the Department of Energy’s (DOE’s) Light-Materials Interactions in Energy Conversion Energy Frontier Research Center. He also was appointed as a faculty visitor in chemistry at Harvard University in 2022. Dr. Nuzzo is the author or co-author of more than 350 peer-reviewed papers and 48 awarded U.S. patents.

ADRIAN S. ONAS is a professor of naval architecture at the Webb Institute of Naval Architecture. Dr. Onas has more than 25 years of experience in the maritime industry in Europe and the United States. His work includes dealing with ships and mobile offshore units’ classification plan approval; certification of materials, components, and systems; and new-building surveys, including sea trials, shipyard, and marine product quality assessments. Part of the process includes AM of complex marine propulsion shapes and their analysis. Dr. Onas has research experience with the nonlinear ship motion software Wasim, including time-domain simulations of roll decay, forced roll and parametric roll resonance in regular seas, and frequency-domain simulation experience, including the study of trimaran roll response in beam/oblique seas and the resonant wave trapping modes in forced roll and forced heave oscillations. Dr. Onas has investigated two nonlinear roll damping models using forced roll tests with a specially designed forced roll apparatus.

MELISSA ORME is a vice president at The Boeing Company, where she oversees AM activity across the three Boeing business units—Boeing Commercial Airplanes; Boeing Defense, Space, and Security; and Boeing Global Services—including metal and polymer flight hardware, as well as research

Suggested Citation: "Appendix B: Biographical Information for Workshop Planning Committee Members and Speakers." National Academies of Sciences, Engineering, and Medicine. 2024. Statistical and Data-Driven Methods for Additive Manufacturing Qualification: Proceedings of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/27939.

and factory aids to enable product development and increase factory efficiency. Dr. Orme is also responsible for guiding the development of the digital thread across the AM value chain, and the implementation of data-driven models from extracted and archived data from the digital thread, utilizing ML and AI to drive efficiency, quality, and scale within the AM end-to-end value stream. Other key responsibilities include the development of initiatives geared toward quantifying the positive sustainability trades associated with AM. Dr. Orme has a diverse professional background and began her career in academia, where she rose to the rank of full professor at the University of California, Irvine. She has deep experience in technology development through the varied frameworks of academia, small business, and large corporations. Dr. Orme received her PhD, MS, and BS in aerospace engineering from the University of Southern California.

ALYSON G. WILSON is the associate vice chancellor for national security and special research initiatives at North Carolina State University. Dr. Wilson is also a professor in the Department of Statistics and a principal investigator for the Laboratory for Analytic Sciences. She is a fellow of the American Statistical Association and AAAS. Her research interests include statistical reliability and Bayesian methods. Prior to joining North Carolina State University, she was a research staff member at the Institute for Defense Analyses’ Science and Technology Policy Institute (2011–2013); an associate professor in the Department of Statistics at Iowa State University (2008–2011); and a technical staff member at Los Alamos National Laboratory (LANL) (1999–2008). In addition to authoring numerous publications, Dr. Wilson co-authored the book Bayesian Reliability and co-edited two books, Statistical Methods in Counterterrorism: Game Theory, Modeling, Syndromic Surveillance, and Biometric Authentication and Modern Statistical and Mathematical Methods in Reliability. Dr. Wilson received her PhD in statistics from Duke University.

WORKSHOP SPEAKERS

MARK D. BENEDICT is the senior scientist for convergent manufacturing for the Air Force Research Laboratory (AFRL). He has focused his research portfolio in the areas of advanced manufacturing, data science, and verification and validation of integrated computational materials science and engineering models. Dr. Benedict conducts and directs research in the areas of metals and plastic advanced manufacturing and is a recognized expert on AM process modeling, machine development, data management, and airworthiness qualification and certification. In his role as the chief technical advisor at America Makes, he has been integral to the planning, requirements definition, selection, and execution of the

Suggested Citation: "Appendix B: Biographical Information for Workshop Planning Committee Members and Speakers." National Academies of Sciences, Engineering, and Medicine. 2024. Statistical and Data-Driven Methods for Additive Manufacturing Qualification: Proceedings of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/27939.

$446 million technical portfolio that America Makes has in the area of convergent manufacturing over the past decade. Additionally, he has directed a research portfolio in excess of $50 million annually in AFRL funds focused on advanced manufacturing.

JESSE BOYER is a fellow in AM at Pratt & Whitney, with a demonstrated history of working in the automotive and aviation and aerospace industries. Mr. Boyer is skilled in surface metrology, systems engineering, six sigma, root cause analysis, and lean manufacturing. He received a BS focused on naval architecture and marine engineering as well as aerospace engineering from the University of Michigan College of Engineering.

LAURA BRUCKMAN is an associate professor in materials science and engineering at Case Western Reserve University. Dr. Bruckman develops predictive lifetime models for materials degradation related to stress conditions and induced degradation mechanisms evaluated by quantitative spectroscopic characterization of materials. She received her BS in chemistry from the University of Michigan-Flint and her PhD in analytical chemistry from the University of South Carolina.

JOHN S. CARPENTER is a scientist within the manufacturing science and metallurgy division at LANL. Dr. Carpenter has broad manufacturing expertise across rolling, forming, welding, casting, spraying, and AM. He currently serves as the chair for NA-115’s Additive Coordination Team, which looks at the development of AM holistically across the National Nuclear Security Administration in support of technology maturation for the nuclear deterrence mission.

JULIA GREER is the Ruben F. and Donna Mettler Professor of Materials Science, Mechanics, and Medical Engineering at California Institute of Technology. She is also the Fletcher Foundation Director of the Kavli Nanoscience Institute and the editor in chief of the Journal of Applied Physics. Dr. Greer’s research focuses on creating and characterizing nano- and micro-architected materials with multiscale microstructural hierarchy using three-dimensional (3D) lithography, nanofabrication, and AM techniques, and investigating their mechanical, electrochemical, chemo-mechanical, and photonic properties as a function of architecture, constituent materials, and microstructural detail. Dr. Greer’s group strives to uncover the synergy between the internal atomic- and molecular-level microstructure and the multiscale external dimensionality, where competing material- (nano) and structure- (architecture) induced size effects drive overall response and govern these properties. Specific topics include applications of 3D nano- and micro-architected

Suggested Citation: "Appendix B: Biographical Information for Workshop Planning Committee Members and Speakers." National Academies of Sciences, Engineering, and Medicine. 2024. Statistical and Data-Driven Methods for Additive Manufacturing Qualification: Proceedings of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/27939.

materials in devices, energy absorption, ultralightweight energy storage systems, chemically assisted filtering, damage-tolerant fabrics, AM, and multifunctional materials.

PING GUO is an associate professor in the Department of Mechanical Engineering at Northwestern University. Before joining Northwestern University in 2018, he spent 4 years at The Chinese University of Hong Kong as an assistant professor. Dr. Guo’s research interests center on the paradigm of micro- and meso-scale manufacturing, including surface texturing, process micro-mechanics, miniature machine tools, metrology, and micro-AM. He currently serves as an associate editor for the Journal of Manufacturing Processes and the Journal of Micro and Nano Manufacturing. He is the recipient of the F.W. Taylor Medal from the International Academy for Production Engineering (CIRP) (2023), the Kornel F. Ehmann Manufacturing Medal from ASME (2021), the Outstanding Young Manufacturing Engineer Award from SME (2020), the Young Investigator Award from the International Symposium on Flexible Automation (2018), and the Hong Kong Research Grants Council Early Career Award (2016). He was elected as an associate member of CIRP in 2022. Dr. Guo received his BS in automotive engineering from Tsinghua University in 2009 and his PhD in mechanical engineering from Northwestern University in 2014.

BRADLEY JARED is an associate professor at the University of Tennessee, Knoxville (UTK), specializing in AM of structural materials. Prior to joining UTK in 2020, Dr. Jared worked at SNL, 3M, and Corning. He has 30 years of experience in mechanical design and advanced manufacturing process development, having presented and published work in the fields of ultra-precision machining, metrology, ultrafast pulsed laser processing, and AM. Dr. Jared’s current research is focused on the integration of design, robotics, and controls into metal deposition processes such as welding, wire-arc AM, and laser powder bed fusion.

ROSHAN JOSEPH is the A. Russell Chandler III Chair and a professor in the Stewart School of Industrial and Systems Engineering at the Georgia Institute of Technology. Dr. Joseph’s research focuses on computational and applied statistics with applications to engineering. He is a recipient of the CAREER Award from the National Science Foundation (NSF) in 2005, the Jack Youden Prize from the American Society for Quality (ASQ) in 2005, the Best Paper Award from IIE Transactions in 2009, Edelman Laureate from INFORMS in 2017, the SPES Award from the American Statistical Association (ASA) in 2019, the SPAIG Award from ASA in 2020, the Lloyd S. Nelson Award from ASQ in 2021, and the Wilcoxon Award from ASQ in 2023. He is a fellow of ASA and ASQ, and was the editor in chief

Suggested Citation: "Appendix B: Biographical Information for Workshop Planning Committee Members and Speakers." National Academies of Sciences, Engineering, and Medicine. 2024. Statistical and Data-Driven Methods for Additive Manufacturing Qualification: Proceedings of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/27939.

of Technometrics from 2020–2022. He holds a PhD in statistics from the University of Michigan, Ann Arbor.

KEERTI KAPPAGANTULA is a senior scientist and the team leader for the Functional Materials and Enabling Technologies Team at Pacific Northwest National Laboratory (PNNL). Dr. Kappagantula’s research focuses on developing high-performance materials through the use of nanotechnology, advanced manufacturing processes, atomistic-tomesoscale modeling, and ML/AI/data-driven methods. Prior to joining PNNL in 2019, she was an assistant professor (tenure track) of mechanical engineering at Ohio University. She also helped manage the Center for Advanced Materials Processing as the assistant director. Dr. Kappagantula manages projects that manufacture metal, polymer, and ceramic composites that are used in applications ranging from energy-efficient electric machines to sustainable carbon-negative building materials. She is funded by various DOE offices, such as the Vehicles Technology Office, Advanced Manufacturing Office, and Fossil Energy Office, in identifying materials of interest, developing manufacturing approaches, and transitioning the technologies into commercial use.

TANNER KIRK is a senior materials design engineer at QuesTek Innovations, where he specializes in computational alloy design and AM and is a lead developer of QuesTek’s ICMD® Software. Before joining QuesTek, Dr. Kirk earned his PhD in mechanical engineering from Texas A&M University.

VLASTIMIL KUNC is the section head for the Composites Science and Technology Section within the Manufacturing Science Division at Oak Ridge National Laboratory. Dr. Kunc also serves as an adjunct professor at Purdue University. This section consists of four groups with physical and human resources capable of all composite manufacturing steps starting from fiber precursor synthesis to part manufacturing and recycling across multiple scales. Within this large team, the Advanced Fibers Manufacturing Group focuses on scale-up of carbon and silicon carbide fiber manufacturing, and selected intermediate feedstock forms. The Composites Innovation Group focuses on scale-up of additive and high-rate composites processes. The work of the Sustainable Manufacturing Technologies Group centers around bioderived composite materials and composites recycling. The Extreme Environment Materials Process Group investigates carbon-carbon and ceramic composite structures.

TYLER LEBRUN is an AM lead at SNL. With a background in aerospace, Dr. Lebrun helps create strategies for deploying 3D printing equipment

Suggested Citation: "Appendix B: Biographical Information for Workshop Planning Committee Members and Speakers." National Academies of Sciences, Engineering, and Medicine. 2024. Statistical and Data-Driven Methods for Additive Manufacturing Qualification: Proceedings of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/27939.

in the most productive and cost-effective manner possible, leveraging AM to produce hardware specifically for space propulsion. He is involved in defining qualification strategies and methods for the parts, materials, and processes that may support one of the many end-use applications that SNL delivers.

LYLE LEVINE is a physicist in the Material Measurement Laboratory (MML) of the National Institute of Standards and Technology in the United States, where he leads MML’s Additive Manufacturing of Metals Project. Dr. Levine also founded and co-leads the Additive Manufacturing Benchmark Test Series (AM-Bench), an international organization that provides AM benchmark measurement data to the AM community.

WING KAM LIU is the Walter P. Murphy Professor of Mechanical Engineering at Northwestern University. Dr. Liu is also a co-founder of HIDENN-AI, a start-up focusing on the HIDENN-AI Platform for Scientific and Materials Systems Innovation; a former director of the Global Center on Advanced Material Systems and Simulation; and a past president of the International Association for Computational Mechanics. He is also a past chair and chair of the U.S. National Committee on Theoretical and Applied Mechanics and a member of the Board of International Scientific Organizations, both within the National Academies of Sciences, Engineering, and Medicine. Selected synergistic activities include Hierarchical Deep-Learning Neural Network-Artificial Intelligence (HiDeNN-AI) and integrated computational materials engineering multiscale data-driven theories and software development for design and manufacturing of material systems, advanced manufacturing and AM, polymer matrix composites, fracture and fatigue analysis of alloys, and technology transfer.

DAVIS J. MCGREGOR is the director of the MIRAGE Lab and an assistant professor of mechanical engineering at the University of Maryland, College Park. Dr. McGregor’s research focuses on how software and data can be leveraged to improve manufacturing and part qualification. He investigates methods for automating metrology of diverse part geometries using computer vision and computational geometry. He is developing ML models for rapidly qualifying additively manufactured parts. Before joining the University of Maryland, Dr. McGregor was a staff manufacturing scientist at Fast Radius/SyBridge Technologies, where he led the development of manufacturing intelligence algorithms. He received his PhD from the University of Illinois at Urbana-Champaign.

VINCENT PAQUIT serves as the section head for secure and digital manufacturing in the Manufacturing Science Division at Oak Ridge National

Suggested Citation: "Appendix B: Biographical Information for Workshop Planning Committee Members and Speakers." National Academies of Sciences, Engineering, and Medicine. 2024. Statistical and Data-Driven Methods for Additive Manufacturing Qualification: Proceedings of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/27939.

Laboratory (ORNL). Over the past two decades, he has dedicated his efforts to various projects and programs at ORNL, all in support of DOE’s two primary missions: ensuring energy sustainability and enhancing national security. Since 2015, Dr. Paquit has been serving as the data analytics lead for the Manufacturing Demonstration Facility. His team is dedicated to developing a digital platform for advanced manufacturing, with the aim of enhancing our understanding of manufacturing processes for part qualification, certification, and process control and correction. To achieve this goal, Dr. Paquit manages a team of scientists and engineers working on developing and integrating hardware and software solutions to capture and analyze the digital threads associated with each manufacturing technology present in the facility.

ALLEN ROACH is currently the director of the Advanced Materials and Manufacturing Initiative and the department manager of the Irradiated Fuels and Materials Department at Idaho National Laboratory. Dr. Roach has expertise and publications in materials for advanced nuclear reactors, multiphysics manufacturing processes including advanced manufacturing and AM, laser welds, flows in rigid and deformable porous media, corrosion, and high-temperature processes including electroslag remelting and large-scale glass flows. He holds a BS and an MS in aerospace engineering and a PhD in mechanical engineering (1994).

ANTHONY ROLLETT has been a member of the faculty at Carnegie Mellon University since 1995, including 5 years as department head. He is the co-director of the Next Manufacturing Center on AM. Dr. Rollett’s research focuses on microstructural evolution and microstructure-property relationships in 3D, using both experiments and simulations. His interests include 3D printing of metals, materials for energy conversion systems, strength of materials, constitutive relations, microstructure, texture, anisotropy, grain growth, recrystallization, formability, and stereology. Some of his relevant techniques include high-performance spectral methods in micromechanics, dynamic X-ray radiography, and high-energy diffraction microscopy. His important recent results include the definition of process windows in 3D printing through the characterization of porosity, 3D comparisons of experiment and simulation for plastic deformation in metals, the appearance of new grains during grain growth, and grain size stabilization.

JIANJUN SHI is the Carolyn J. Stewart Chair and Professor in the H. Milton Stewart School of Industrial and Systems Engineering with a joint appointment in the George W. Woodruff School of Mechanical Engineering at the Georgia Institute of Technology. Dr. Shi is a pioneer in the

Suggested Citation: "Appendix B: Biographical Information for Workshop Planning Committee Members and Speakers." National Academies of Sciences, Engineering, and Medicine. 2024. Statistical and Data-Driven Methods for Additive Manufacturing Qualification: Proceedings of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/27939.

development and application of data fusion for quality improvements. His methodologies integrate system informatics, advanced statistics, and control theory for the design and operational improvements of manufacturing and service systems by fusing engineering systems models with data science methods. He received his BS and MS in electrical engineering from the Beijing Institute of Technology in 1984 and 1987, and his PhD in mechanical engineering from the University of Michigan in 1992.

CHRISTOPHER SPADACCINI is currently the Materials Engineering Division (MED) leader in the Engineering Directorate at Lawrence Livermore National Laboratory (LLNL). Dr. Spadaccini founded several new fabrication laboratories at LLNL for AM and process development focused on micro- and nano-scale features and mixed material printing, as well as scale-up for higher throughput. He was the founding director of the Center for Engineered Materials and Manufacturing prior to becoming a division leader and co-led efforts to establish the Advanced Manufacturing Laboratory, a new facility in the Livermore Valley Open Campus. In his role as MED leader, Dr. Spadaccini manages an organization of approximately 600 staff, including engineers and scientists, postdoctorates, students, machinists, and technicians, as well as more than a dozen facilities. He has been a member of the LLNL technical staff for 20 years. Dr. Spadaccini has also been a lecturer in the Chemical, Materials, and Biomedical Engineering Department at San Jose State University, where he taught graduate courses in heat, mass, and momentum transport, and was an adjunct faculty member at the University of California, Davis, in the Chemical Engineering Department.

AARON STEBNER works at the intersection of manufacturing, ML, materials, and mechanics. He joined the Georgia Institute of Technology faculty as an associate professor of mechanical engineering and materials science and engineering in 2020. Dr. Stebner is known for cross-disciplinary work with a mechanical engineering core, such as developing new characterization and data analysis capabilities for studying deformation and manufacturing of materials in situ and integrating data informatics and machine learning to accelerate discovery, development, and optimization of mechanics models and manufacturing processes. He is also known for incorporating the latest fundamental scientific discoveries into practical, usable tools for innovating engineering applications for companies and the government.

TAO SUN is an associate professor of mechanical engineering at Northwestern University. He received his BS and MS in materials science and engineering (MSE) from Tsinghua University and earned his PhD

Suggested Citation: "Appendix B: Biographical Information for Workshop Planning Committee Members and Speakers." National Academies of Sciences, Engineering, and Medicine. 2024. Statistical and Data-Driven Methods for Additive Manufacturing Qualification: Proceedings of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/27939.

in MSE at Northwestern University. Following his graduation, Dr. Sun pursued postdoctoral research at Argonne National Laboratory, where he advanced to the roles of assistant physicist and then physicist. He began his academic career at the University of Virginia in 2019, and recently returned to Northwestern. Dr. Sun has extensive expertise in AM, sophisticated instrumentation, and X-ray science. His research group is committed to understanding the fundamental physics of laser–metal interaction, heat and mass transfer, multiphase flow, and nonequilibrium material evolution within AM processes. Dr. Sun’s work highlights the critical importance of fundamental research in manufacturing science and the significant role of advanced in situ characterization and monitoring techniques.

ZHIMIN XI is an associate professor in the Department of Industrial and Systems Engineering at Rutgers University–New Brunswick. Dr. Xi received his BS and MS in mechanical engineering at the University of Science and Technology Beijing in 2001 and 2004, respectively. He obtained his PhD in mechanical engineering (Program of Reliability Engineering) at the University of Maryland, College Park, in 2010. His research interests are design for reliability and applications for reliable autonomous vehicles/robots, lithium-ion batteries, and AM. Dr. Xi has published more than 80 papers in prestigious journals and peer-reviewed conference proceedings. His research has been supported by NSF, the Defense Advanced Research Projects Agency (DARPA), DOE, Ford Motor Company, Denso North American Foundation, and the Woodbridge Group. He is a member of the Institute of Industrial and Systems Engineers, ASME, and the Institute of Electrical and Electronics Engineers. He is the recipient of 2021 ASME Design Automation Young Investigator Award, the 2019 Rutgers A. Walter Tyson Assistant Professorship Award, and the 2016 DARPA Young Faculty Award. He is the winner of multiple (including twice Top 10) Best Paper Awards from the ASME Design Automation Conference in 2008, 2011, 2013, and 2015, respectively.

Suggested Citation: "Appendix B: Biographical Information for Workshop Planning Committee Members and Speakers." National Academies of Sciences, Engineering, and Medicine. 2024. Statistical and Data-Driven Methods for Additive Manufacturing Qualification: Proceedings of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/27939.
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Suggested Citation: "Appendix B: Biographical Information for Workshop Planning Committee Members and Speakers." National Academies of Sciences, Engineering, and Medicine. 2024. Statistical and Data-Driven Methods for Additive Manufacturing Qualification: Proceedings of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/27939.
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Suggested Citation: "Appendix B: Biographical Information for Workshop Planning Committee Members and Speakers." National Academies of Sciences, Engineering, and Medicine. 2024. Statistical and Data-Driven Methods for Additive Manufacturing Qualification: Proceedings of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/27939.
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Suggested Citation: "Appendix B: Biographical Information for Workshop Planning Committee Members and Speakers." National Academies of Sciences, Engineering, and Medicine. 2024. Statistical and Data-Driven Methods for Additive Manufacturing Qualification: Proceedings of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/27939.
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Suggested Citation: "Appendix B: Biographical Information for Workshop Planning Committee Members and Speakers." National Academies of Sciences, Engineering, and Medicine. 2024. Statistical and Data-Driven Methods for Additive Manufacturing Qualification: Proceedings of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/27939.
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Suggested Citation: "Appendix B: Biographical Information for Workshop Planning Committee Members and Speakers." National Academies of Sciences, Engineering, and Medicine. 2024. Statistical and Data-Driven Methods for Additive Manufacturing Qualification: Proceedings of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/27939.
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Suggested Citation: "Appendix B: Biographical Information for Workshop Planning Committee Members and Speakers." National Academies of Sciences, Engineering, and Medicine. 2024. Statistical and Data-Driven Methods for Additive Manufacturing Qualification: Proceedings of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/27939.
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Suggested Citation: "Appendix B: Biographical Information for Workshop Planning Committee Members and Speakers." National Academies of Sciences, Engineering, and Medicine. 2024. Statistical and Data-Driven Methods for Additive Manufacturing Qualification: Proceedings of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/27939.
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Suggested Citation: "Appendix B: Biographical Information for Workshop Planning Committee Members and Speakers." National Academies of Sciences, Engineering, and Medicine. 2024. Statistical and Data-Driven Methods for Additive Manufacturing Qualification: Proceedings of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/27939.
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Suggested Citation: "Appendix B: Biographical Information for Workshop Planning Committee Members and Speakers." National Academies of Sciences, Engineering, and Medicine. 2024. Statistical and Data-Driven Methods for Additive Manufacturing Qualification: Proceedings of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/27939.
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Suggested Citation: "Appendix B: Biographical Information for Workshop Planning Committee Members and Speakers." National Academies of Sciences, Engineering, and Medicine. 2024. Statistical and Data-Driven Methods for Additive Manufacturing Qualification: Proceedings of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/27939.
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Suggested Citation: "Appendix B: Biographical Information for Workshop Planning Committee Members and Speakers." National Academies of Sciences, Engineering, and Medicine. 2024. Statistical and Data-Driven Methods for Additive Manufacturing Qualification: Proceedings of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/27939.
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