Xi Chen

Assistant Professor at Rotterdam School of Management

Assistant Professor of Information, Operations and Management Sciences at Leonard N. Stern School of Business

Schools

  • Leonard N. Stern School of Business
  • Rotterdam School of Management

Expertise

Links

Biography

Rotterdam School of Management

Profile

Dr. Xi Chen''s research focuses on quantitative marketing and empirical industrial organization, with particular interest in the influence of digital tools and platforms on consumer behavior and the implications for company strategy and public policy. 

Dr. Xi Chen received his PhD in Marketing from School of Business and Management at the Hong Kong University of Science and Technology.

Research Interests

  • Quantitative Marketing
  • Online Marketing
  • Empirical Industrial Organization
  • Policy and Strategy Evaluation
  • Social Network Theory

Please visit https://sites.google.com/site/chenximkt/ for more information.

Professional experience

Assistant Professor

Erasmus University Rotterdam
RSM - Rotterdam School of Management
Department of Marketing Management

## Courses

Marketing Strategy Research

  • Study year: 2018/2019, 2017/2018, 2016/2017, 2015/2016
  • Code: BM05MM
  • ECTS: 4 Level: Master

Digital Marketing Strategy

  • Study year: 2018/2019, 2017/2018, 2016/2017, 2015/2016
  • Code: BMME056
  • ECTS: 6 Level: Master

Past courses

Advanced Marketing Decision Models

  • Study year: 2016/2017
  • Code: BERMASC041
  • ECTS: 7 Level: Master

Current Topics in Marketing Research

  • Study year: 2016/2017, 2015/2016
  • Code: BERMASC040
  • ECTS: 5 Level: Master

Current Topics in Marketing Research

  • Study year: 2014/2015
  • Code: BERMASC037
  • ECTS: 3 Level: Master

Marketing strategy research

  • Study year: 2014/2015
  • Code: RSM05MM
  • ECTS: 4 Level: Master

Leonard N. Stern School of Business

Biography

Xi Chen joined New York University Stern School of Business as an Assistant Professor of Information, Operations and Management Sciences in September 2014.

>Professor Chen studies machine learning and optimization, high-dimensional statistics and operations research. He is developing parametric and non-parametric statistical methods as well as efficient optimization algorithms to address challenges in high-dimensional data analysis. He studies statistical learning and online decision making for crowdsourcing. He also investigates operations research/management problems, such as the optimal network design in process flexibility, approximate dynamic programming and revenue management.

Before joining NYU Stern, Professor Chen completed a one-year postdoc with Professor Michael Jordan at the University of California, Berkeley.

Professor Chen earned his M.S. in Industrial Administration and Operations Research from the Tepper School of Business, and his Ph.D. in Machine Learning from the School of Computer Science, both at Carnegie Mellon University. He received the Simons-Berkeley Research Fellowship and IBM Ph.D. Fellowship.

Research Interests

  • Machine learning
  • High-dimensional statistics
  • Optimization under Uncertainty
  • Operations Research

Academic Background

Ph.D., Machine Learning
Carnegie Mellon University, School of Computer Science

M.S., Industrial Administration and Operations Research
Carnegie Mellon University, Tepper School of Business

Read about executive education

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