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Our Faculty

  • Research Focus

  • Industry Focus

Bayesian model selection, Bayesian nonparametrics, hierarchical models, Markov chain Monte Carlo, spatio-temporal modelling.

David Nott

Associate Professor
Statistics and Data Science
  • Bayesian models, Markov Chain
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Stochastic control, Stochastic models, Robust decision making and learning, Decentralized optimization, Control of stochastic systems, Applications in financial engineering and Operations Research

Lim Andrew

Deputy Director
Analytics & Operations, Finance
  • Finance
  • Decentralized Optimization, Robust Optimization, Stochastic Control
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Optimizing Resource Allocation, Adaptive Learning, Experimentation in Online Platforms

Vikas Deep

Assistant Professor
School of Computing
  • Adaptive Learning, Experimentation in Online Platforms, Optimizing Resource Allocation
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Robust and distributionally robust optimization, Data-driven optimization, Risk analytics

Napat Rujeerapaiboon

Assistant Professor
Industrial Systems Engineering and Management
  • Data-driven Optimization, Distributionally Robust Optimization, Risk analytics, Robust Optimization
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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
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Stochastic modeling, analysis, and control. Applications in service, healthcare, and transportation systems

He Shuangchi

Associate Professor
Industrial Systems Engineering and Management
  • Healthcare, Service, Transportation
  • Stochastic Control
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Uncertainty quantification and data science, data-driven decision making

YE Zhisheng

Associate Professor
Industrial Systems Engineering and Management
  • Data-driven Optimization
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Second order backward stochastic differential equations (2BSDEs), Stochastic control in finance and insurance, Valuation adjustments, Principal-Agent problems, Data analytics and information acquisition, Deep learning methods

Zhou Chao

Mathematics
  • Finance
  • Deep Learning, Stochastic Control
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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
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behavioral economics, experimental economics, genoeconomics, neuroeconomics

Zhong Songfa

Associate Professor
Department of Economics
  • Behavioral Economics, Genoeconomics, Neuroeconomics
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Mathematical optimization, particularly mixed-integer nonlinear programming and nonsmooth optimization, along with their applications in operations research, data science, and other related fields.

Shaoning Han

Affiliated Faculty
Mathematics
  • data science, Mathematical optimization, mixed-integer nonlinear programming, nonsmooth optimization, Operations Research
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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
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Transportation Network Modeling and Optimization, Shipping and Intermodal Freight Transportation Analysis, Quantitative Risk Assessment (QRA) of Transport Operations

Meng Qiang

Professor
Civil and Environmental Engineering
  • Maritime, Transportation
  • Network Modeling, Risk analytics
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