Zhengyuan Zhou

Assistant Professor of Technology, Operations and Statistics at Leonard N. Stern School of Business

Schools

  • Leonard N. Stern School of Business

Expertise

Links

Biography

Leonard N. Stern School of Business

Zhengyuan Zhou joined New York University Stern School of Business as an Assistant Professor of Technology, Operations and Statistics in September 2020.

Professor Zhou’s research interests lie at the intersection of machine learning, stochastic optimization, control and game theory, and focus on leveraging tools from those fields to develop methodological frameworks to solve data-driven decision-making problems.

Before joining NYU Stern, Professor Zhou spent the year 2019-2020 as a Goldstine research fellow at IBM research and a visiting scholar at NYU Stern.

Professor Zhou received his BA in Mathematics and BS in Electrical Engineering and Computer Sciences, both from UC Berkeley. Subsequently, he has received a Master’s in Computer Science, a Master’s in Statistics, a Master’s in Economics and a PhD in Electrical Engineering (with minors in Mathematics and Management Science & Engineering), all from Stanford University in 2019.

Research Interests

  • Intersection of machine learning, stochastic optimization, control and game theory

Courses Taught

  • Convex Optimization
  • Data, Decisions and Models

Academic Background

Ph.D., Electrical Engineering Stanford University

Master's, Computer Science Stanford University

Master's, Statistics Stanford University

Master's, Economics Stanford University

B.A., Mathematics UC Berkeley

B.S., Electrical Engineering UC Berkely

Awards and Grants

  • $450K grant from NSF (Award 2106508), 2021
  • Horizon Robotics faculty research award ($50,000), 2021
  • JP Morgan AI research grant ($10,000), 2021
  • IBM Goldstine Fellowship, 2019-2020
  • NeurIPS travel award, 2019
  • INFORMS George Nicholson Award, Finalist, 2018
  • INFORMS George Nicholson Award, Finalist, 2017
  • INFORMS Applied Probability Society Best Student Paper Prize, Finalist, 2017
  • Schlumberger Innovation Fellowship, 2016-2017
  • Stanford Graduate Fellowship in Science and Engineering (Rambus Corporation Fellow) 2013-2016
  • Qualcomm Innovation Fellowship Finalist, 2015-2016, 2016-2017
  • The CRA (Computing Research Association) Outstanding Undergraduate Researchers Award, 2013
  • Berkeley EECS Department Arthur M.Hopkin Award, 2013
  • Microsoft College Scholarship and Scholar, 2012-2013
  • Berkeley Leadership Award and Scholar, 2010-2011, 2011-2012, 2012-2013

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