Dr. Markus Pelger

Associate Professor

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Biography

Markus Pelger is an Associate Professor in the Department of Management Science and Engineering at Stanford University, where he is also a Chambers Faculty Scholar. His research focuses on understanding and managing financial risk through the development of mathematical financial models and statistical methods, as well as the analysis of financial data. He employs computational techniques to address complex problems in the financial sector. His research is categorized into streams that include machine learning solutions for big-data challenges, empirical asset pricing, statistical theory for high-dimensional data, and stochastic financial modeling. Markus’ work has been published in leading journals such as the Journal of Finance and Management Science, and he serves as an Associate Editor for multiple academic journals. His contributions to the field have been recognized with several awards, including the Bates-White Prize and the Dennis Aigner Award. Additionally, he has been active in consulting and advising roles for investment institutions and governmental agencies. A graduate of the University of California, Berkeley, he holds a Ph.D. in Economics and diplomas in Mathematics and Economics from the University of Bonn. He is affiliated with various research institutes including the National Bureau of Economic Research and the Stanford Institute for Human-Centered Artificial Intelligence.

Research Interests

Experience

Associate Professor

2024-01-01 — Present

Stanford University • Stanford, CA

Member of the School of Engineering, involved in research and education in management science engineering.

Research Associate

— Present

National Bureau of Economic Research • Stanford, CA

Apply research methodologies to assist with financial economic research.

Awards

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Chambers Faculty Scholar

2024-01-01
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Bates-White Prize

2023-01-01
#

Crowell Memorial Prize

2022-01-01
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Dennis Aigner Award

2021-01-01

Requirements for Stanford University

Doctorate Program
Requirements
GPA Requirement
Required:3.5
TOEFL
Listening
Required:26
Reading
Required:26
Writing
Required:26
Speaking
Required:26
Total
Required:100
GRE General
Verbal
Required:160
Quantitative
Required:165
Analytical Writing
Required:4.5
Overall
Required:4.5
Prerequisites
Bachelor degree from an accredited institution Strong background in mathematics and programming
Application Checklist
  • Statement of Purpose
  • Three letters of recommendation
  • Official transcripts
  • Resume/CV
Specialization Notes

The Computer Science department emphasizes research potential. GRE General is currently optional but recommended for some tracks.