Our Faculty

Stochastic control, Statistical analysis of stochastic processes, Optimization, Risk management, Decision making under uncertainty, Strategic incentives, Information economics.

Jussi Keppo

Research Director (Industry)

Analytics & Operations

Information Economics, Optimization, Risk Management, Statistical Analysis, Stochastic Control, Stochastic Processes

My research interests lie broadly inside probability theory and its applications in statistics, machine learning and nonlinear systems. My recent research involves investigating the behavior of algorithms, e.g. EnKF, MCMC and SGD, when the problem dimension is high. One of the common theme is that we can show stable performance of these algorithms, if certain intrinsic structures can be exploited

Tong Xin

Assistant Professor

Mathematics

Machine Learning

Data-driven decision-making, Optimization under uncertainty.

Xiong Peng

Senior Research Fellow

Analytics & Operations

Data-driven Optimization, Optimisation Under Uncertainty

Inventory And Warehouse Management, Logistics And Supply Chain Analysis, Operations And Marketing Interface, Operations Research, Applications In Health Care Operations / manufacturing, Flexibility Design And Analysis, Optimisation With Uncertainty, Production Scheduling

Chou Mabel

Associate Professor

Analytics & Operations

Healthcare, Logistics, Manufacturing, Supply Chain
Inventory Management, Optimisation Under Uncertainty, Scheduling, Warehouse Management

portfolio optimization, data-driven decision making

Zhao Long

Analytics & Operations

Data-driven Optimization, Portfolio Optimization

Market Analytics, Online Platform Operations, Learning And Decision Making, Experimental Design

Feng Yifan

Assistant Professor

Analytics & Operations

Online Platforms
Experimental Design, Learning, Market Analytics

Revenue management, dynamic pricing, Supply chain management, Dynamic programming, Game theory

Hu Zhenyu

Associate Professor

Analytics & Operations

Supply Chain
Dynamic Programming, Game Theory, Revenue Management

Information Theory, Machine Learning, Statistical Signal Processing

Tan Yan Fu Vincent

Associate Professor (Dean’s Chair)

Electrical and Computer Engineering, Mathematics

Information Theory, Machine Learning, Statistical Signal Processing

Uncertainty quantification and data science, data-driven decision making

YE Zhisheng

Associate Professor

Industrial Systems Engineering and Management

Data-driven Optimization

His research interests centre around stochastic processes and their broad applications and intersections with other fields such as data science, with a particular focus on Markov chains theory and stochastic algorithms driven by Markov chains

Michael Choi

Statistics and Data Science

Markov Chain, Stochastic Processes

Our Faculty

Research Focus

Industry Focus

Stochastic control, Statistical analysis of stochastic processes, Optimization, Risk management, Decision making under uncertainty, Strategic incentives, Information economics.

Jussi Keppo

Tong Xin

Data-driven decision-making, Optimization under uncertainty.

Xiong Peng

Inventory And Warehouse Management, Logistics And Supply Chain Analysis, Operations And Marketing Interface, Operations Research, Applications In Health Care Operations / manufacturing, Flexibility Design And Analysis, Optimisation With Uncertainty, Production Scheduling

Chou Mabel

portfolio optimization, data-driven decision making

Zhao Long

Market Analytics, Online Platform Operations, Learning And Decision Making, Experimental Design

Feng Yifan

Revenue management, dynamic pricing, Supply chain management, Dynamic programming, Game theory

Hu Zhenyu

Econometric theory, Macroeconometrics, Financial Econometrics.

Denis Tkachenko

Information Theory, Machine Learning, Statistical Signal Processing

Tan Yan Fu Vincent

Uncertainty quantification and data science, data-driven decision making

YE Zhisheng

His research interests centre around stochastic processes and their broad applications and intersections with other fields such as data science, with a particular focus on Markov chains theory and stochastic algorithms driven by Markov chains

Michael Choi

IORA

Resources