Mohit Singh is a Coca-Cola Foundation Professor in the H. Milton Stewart School of Industrial and Systems Engineering and the Director of the Algorithms and Randomness Center (ARC). Prior to this, he served as a researcher in the Theory Group at Microsoft Research in Redmond, Washington.

Singh’s research interests include discrete optimization, approximation algorithms, and convex optimization. His research is focused on optimization problems arising in cloud computing, logistics, network design, and machine learning.

Singh received the Tucker Prize in 2009 given by the Mathematical Optimization Society for an outstanding doctoral thesis on “Iterative Methods in Combinatorial Optimization.” He also received the best paper award for his work on the traveling salesman problem at the Annual Symposium on Foundations of Computer Science (FOCS) in 2011.

Previously, Singh was an assistant professor at McGill University from 2010-2011 and a postdoctoral researcher at Microsoft Research, New England from 2008-2009.

He obtained his Ph.D. in 2008 from the Tepper School of Business at Carnegie Mellon University.

Alexander Shapiro is the A. Russell Chandler III Chair and Professor in the H. Milton Stewart School of Industrial and Systems Engineering at Georgia Tech. 

Dr. Shapiro’s research interests are focused on stochastic programming, risk analysis, simulation based optimization, and multivariate statistical analysis.   In 2013 he was awarded Khachiyan Prize of INFORMS for lifetime achievements in optimization, and in 2018 he was a recipient of the Dantzig Prize awarded by the Mathematical Optimization Society and Society for Industrial and Applied Mathematics. In 2020 he was elected to the National Academy of Engineering. In 2021 he was a recipient of John von Neumann Theory Prize awarded by the Institute for Operations Research and the Management Sciences (INFORMS). 

Dr. Shapiro served  on editorial board of a number of professional journals. He was an area editor (optimization) of the Operations Research Journal and the editor-in-chief of the Mathematical Programming, Series A, Journal. 

Galyna Livshyts completed her undergraduate studies in Kharkiv, Ukraine. She obtained her PhD from Kent State University in Ohio in 2015 under the supervision of Artem Zvavitch. Since 2015, Galyna has been an assistant professor at the School of Math, Georgia Institute of Technology. In Fall 2017, she was a postdoc at the MSRI program in Geometric Asymptotic Analysis and Applications at MSRI, Berkeley. Galyna is interested in High-dimensional Probability and Convexity, as well as Asymptotic Analysis and Random Matrix Theory.

Anton Leykin received the Ph.D. degree from the University of Minnesota, Twin Cities. He works in nonlinear algebra with a view towards algorithms and applications. A large part of his recent work concerns homotopy continuation methods, which includes both theory and implementation in Macaulay2 computer algebra system. He is a member of the ACM, AMS, and SIAM.

David Goldsman is the Director of Master's Recruiting and Admissions and Coca-Cola Professor in the H. Milton Stewart School of Industrial and Systems Engineering at the Georgia Institute of Technology. He received his Ph.D. in 1984 from the School of Operations Research and Industrial Engineering at Cornell University. He also holds degrees from Syracuse University in Mathematics, Physics, and Computer and Information Sciences. He has been a Visiting Professor or Scientist at Cornell University, Syracuse University, The University of North Carolina–Chapel Hill, AT&T Bell Laboratories, NEC USA, The Middle East Technical University, Northwestern University, The University of Oklahoma, Sabancı University, Boğaziçi University, Özyeğin University, Monterrey Tech, and The University of the Andes. 

Dave's research interests include simulation output analysis, statistical ranking and selection methods, and medical and humanitarian applications of operations research. He has published extensively, and has over 75 publications in such bellwether journals as Management Science, Operations Research, Operations Research Letters, IIE Transactions, and Sequential Analysis. He has also co-authored about 20 book chapters as well as the texts Design and Analysis of Experiments for Statistical Selection, Screening and Multiple Comparisons, with Bob Bechhofer and Tom Santner, and Probability and Statistics in Engineering (4th edition), with Bill Hines, Doug Montgomery, and Connie Borror. 

Dave is an Associate Editor for Sequential Analysis and the Journal of Simulation. He was previously the Simulation Department Editor for IIE Transactions and an Associate Editor for Operations Research Letters. He was also the Associate Editor for the Proceedings of the 1992 Winter Simulation Conference (WSC), the Program Chair for the 1995 WSC, and the IIE Board Representative to the WSC (2001–2009). Further, he has served in various elected positions for the INFORMS Simulation Society, including President. He was the Chair of the INFORMS Public Awareness Committee from 2002–2008, and has engaged in substantial outreach to high school and community college students and teachers for over 25 years. 

Dave and Christos Alexopoulos won the INFORMS Simulation Society's 2007 Outstanding Simulation Publication Award for their paper “To Batch or not to Batch?” which appeared in ACM TOMACS in 2004. In addition, Dave, Christos, Claudia Antonini, and Jim Wilson won the IIE Transactions 2010 Best Paper Prize in Operations Engineering and Analysis for their 2009 paper “Area Variance Estimators for Simulation Using Folded Standardized Time Series.” Dave received the INFORMS Simulation Society's Distinguished Service Award in 2002. He also received a Fulbright fellowship in 2006 to lecture at Boğaziçi and Sabancı Universities in Istanbul, Turkey. Dave is a Fellow of the Institute of Industrial Engineers. 

Dave is an active consultant, having undertaken various projects in the healthcare, airline, automotive, fast food, hotel, and banking industries, among others.

Sherri joined the Business Analytics Center at Scheller College of Business in August 2017 as the Corporate Engagement Manager. She is responsible for identifying, developing and maintaining corporate partnerships that drive collaboration between the Business Analytics Center and the analytics industry. 

Before joining the Business Analytics Center, Sherri worked as a Corporate Relations Manager for the Georgia Tech Master of Science in Analytics Program. Prior to joining Georgia Tech, she built a 25+ year accomplished track record in business development, corporate relations, program management and fund raising. Her extensive experience spans multiple industry sectors in Technology, Consumer Products, Education and Nonprofit.

Santanu S. Dey is A. Russell Chandler III Professor and associate chair of graduate studies in the H. Milton Stewart School of Industrial and Systems Engineering at Georgia Institute of Technology. Dr. Dey holds a Ph.D. in Industrial Engineering from Purdue University. Prior to joining Georgia Tech, he worked as a post-doctoral fellow at the Center for Operations Research and Econometrics (CORE) of the Catholic University of Louvain in Belgium. 

Dr. Dey's research interests are in the area of non convex optimization, and in particular mixed integer linear and nonlinear programming. His research is partly motivated by applications of non convex optimization arising in areas such as electrical power engineering, process engineering, civil engineering, logistics, and statistics. Dr. Dey has served as the vice chair for Integer Programming for INFORMS Optimization Society (2011-2013) and has served on the program committees of Mixed Integer Programming Workshop 2013 and Integer Programming and Combinatorial Optimization 2017, 2020. He currently serves on the editorial board of Computational Optimization and Applications, MOS-SIAM book series on Optimization, is an associate editor for Mathematics of Operations Research, Mathematical Programming A, and SIAM Journal on Optimization. He has been as associate editor for INFORMS Journal on Computing and an area editor for Mathematical Programming C.

Simon Chung is a research scientist at the Institute for Data Engineering and Science. He obtained his Ph.D. degree from the University of Texas at Austin. His research interests range from UI security, improving the security and usability of authentication systems, to employing the latest hardware features to improve systems security.

Michael Thoreau Lacey is an American mathematician. Lacey received his Ph.D. from the University of Illinois at Urbana-Champaign in 1987, under the direction of Walter Philipp. His thesis was in the area of probability in Banach spaces, and solved a problem related to the law of the iterated logarithm for empirical characteristic functions. In the intervening years, his work has touched on the areas of probability, ergodic theory, and harmonic analysis. 

His first postdoctoral positions were at the Louisiana State University, and the University of North Carolina at Chapel Hill. While at UNC, Lacey and Walter Philipp gave their proof of the almost sure central limit theorem. 

He held a position at Indiana University from 1989 to 1996. While there, he received a National Science Foundation Postdoctoral Fellowship, and during the tenure of this fellowship he began a study of the bilinear Hilbert transform. This transform was at the time the subject of a conjecture by Alberto Calderón that Lacey and Christoph Thiele solved in 1996, for which they were awarded the Salem Prize. Since 1996, he has been a Professor of Mathematics at the Georgia Institute of Technology. In 2004, he received a Guggenheim Fellowship for joint work with Xiaochun Li. In 2012 he became a fellow of the American Mathematical Society.