Mark Squillante is a distinguished research staff member and manager in the mathematical sciences department at the IBM Thomas J. Watson Research Center, where he leads the Stochastic Processes and Optimization group. He received a Ph.D. degree from the University of Washington. He has been an adjunct faculty member at Columbia University and a member of the Technical Staff at Bell Laboratories, and has held visiting positions at various academic institutions. His research interests concern mathematical foundations of the analysis, modeling, and optimization of the design and control of complex systems under uncertainty, including stochastic processes, probability theory, stochastic optimization and control, mathematical statistics, queueing theory, algorithms, and stochastic resource allocation/scheduling, as well as their applications in the areas of decision making under uncertainty, business analytics and optimization, data analytics, smarter planet technologies, financial analytics, health analytics, smart energy/grid technologies, social media analytics, data-centric and cloud computing, computer systems, communication networks and mobile devices, revenue and risk management, and manufacturing and service operations management. He is an elected fellow of ACM and IEEE, and the author of more than 250 technical papers and more than 30 issued or filed patents. His work has been recognized through The Daniel H. Wagner Prize from INFORMS, eight best paper awards, 10 keynote/plenary presentations, 12 major IBM technical awards, and 26 IBM invention awards. He is a member of American Mathematical Society, the Bernoulli Society for Mathematical Statistics and Probability, IMS, INFORMS, and SIAM. He serves on the editorial board of ACM Transactions on Modeling and Computer Simulation and has chaired/organized several international conferences in applied probability and related applications.