Recent Alumni

Antoine Desir
Faculty Advisor: Vineet Goyal

Antoine is an Assistant professor of Technology and Operations Management at INSEAD. His research applies mathematical modeling and analytics to operations management problems with an aim to: (1) quantify fundamental tradeoffs, and (2) design efficient data-driven algorithms to support operational decisions. More precisely, he focuses on revenue management and choice modeling with applications such as online advertising. He was an MSOM student paper finalist in 2014 and 2017 and a Nicholson student paper finalist in 2014 and 2015. After graduation, he spent a year as a post doctoral researcher at Google NYC.


Francois Fagan
Faculty Advisor: Garud Iyengar

During his PhD, Francois's research focused on efficient MCMC inference methods and stable optimization for large scale machine learning problems. Two of his summers were spent interning at Bloomberg and one at Amazon. Since graduating in 2018 he has been working at Facebook on applied machine learning problems in teams across Facebook and Instagram.


Michael Hamilton
Faculty Advisor: Adam Elmachtoub

Michael Hamilton works on both the theory and practice of revenue management, with a particular emphasis on pricing. His research demonstrates the effectiveness of novel pricing strategies in emerging e-commerce markets. He will be joining the University of Pittsburgh, Katz School of Business as an Assistant Professor in the Business Analytics and Operations area.


Irene Lo
Faculty Advisor: Jay Sethuraman

Irene is currently a postdoctoral fellow in the Economics department at Stanford University, and will join the department of Management Science & Engineering at Stanford University as an assistant professor in Fall 2019. She conducts research on how to design matching markets and assignment processes to improve market outcomes, with a focus on public sector and socially responsible operations research. She is also interested in mechanism design for social good, graph theory, and games on networks. Irene obtained her A.B. in Mathematics from Princeton University in 2013, and her Ph.D. in Industrial Engineering and Operations Research from Columbia University in 2018.


Ni Ma
Faculty Advisor: Ward Whitt

Ni is currently working as a research scientist in the AI group at Bloomberg L.P. She received her PhD degree from IEOR department in 2018. Her research concentration is on queueing theory and she has been working with Prof. Whitt. Previously she received a Bachelor's degree in Economics and Finance from the University of Hong Kong and she also did a Master in Statistics from the University of Hong Kong and a Master in Financial Engineering from Columbia University.


Xu Sun
Faculty Advisor: Ward Whitt

Xu is an Assistant Professor in Data Analytics and Applied Operations Research in the Department of Industrial and Systems Engineering at the University of Florida. He works in areas such as performance analysis and optimization of stochastic service systems, the theory of stochastic-process limits, systemic risking modeling, and network design and control of sustainable urban transport systems. A common theme of his research is to develop tractable process-level approximations for the dynamics of the underlying physical system and then use such formal approximations to gain insights into the system performance and/or obtain provably asymptotically optimal control policies for the original system. He was a finalist of the Best Student Paper Competition in Informs Finance Section in 2017, a recent recipient of the 2018 Institute for Mathematics and its Applications Travel Award and the 2017 Engineering Graduate Student Council Professional Development Scholarship.


Wei You
Faculty Advisor: Ward Whitt

Wei You is completed his PhD in Operations Research from Columbia University, advised by Professor Ward Whitt. His primary research focus is on queueing theory, applied probability, and their applications to the performance analysis and design of service systems. He was born in Nanjing, Jiangsu, China. He received the B.S. degree in Mathematics (2014) from Nanjing University, China. He will join the Department of Industrial Engineering and Decision Analytics at Hong Kong University of Science and Technology.


Xiaopei Zhang
Faculty Advisor: Ward Whitt

Xiaopei Zhang graduated from the IEOR department in 2019. Before that, he got a M.A. degree in statistics from Columbia and a B.S. degree in Mathematics from Peking University. During his Ph.D. life, his research was about queueing theory and stochastic modeling with data.