Adel Javanmard
Associate Professor of Data Sciences and Operations at USC Marshall School of Business
Biography
USC Marshall School of Business
Adel Javanmard is an Associate Professor in the department of Data Sciences and Operation, Marshall School of Business at the University of Southern California, where he also holds a courtesy appointment with the computer science department. Prior to joining USC in 2015, he was a NSF postdoctoral research fellow at the Center for Science of Information, with worksite at UC Berkeley and Stanford University. He completed his PhD at Stanford University in 2014. His research interests are broadly in the area of high-dimensional statistics, machine learning, optimization, and personalized decision-making. Adel is the recipient of several awards and fellowships, including 2021 Alfred P. Sloan Research Fellow in Mathematics, the IMS Tweedie Researcher award, the NSF CAREER award, Adobe Faculty Research award, Google Faculty Research award, the Thomas Cover dissertation award from the IEEE Society, Douglas Basil Award for Junior Business Faculty, the Zumberge Faculty Research and Innovation award, and the NSF CSoI Postdoctoral Fellowship.
Research Interests
- High-dimensional statistical inference and estimation
- Mathematical foundations of data science
- Statistical machine learning and applied statistics
- Non-convex optimization, applied probability, random matrix theory
- Structured learning: sparse regression, low-rank models, network data analysis
- Iterative algorithms, graphical models, message passing algorithms, statistical physics
- Dynamic and personalized decision-making
Education
- M.S./ Ph.D. Stanford University (2009 — 2014)
- B.S. (dual degree program) Sharif University of Technology (2004 — 2009)
Companies
- Associate Professor of Data Science and Statistics University of Southern California - Marshall School of Business (2021)
- Assistant Professor University of Southern California - Marshall School of Business (2015)
- Postdoctoral Research Associate Center for Science of Information, NSF STC (2014 — 2015)
- PHD Candidate Stanford University (2009 — 2014)
- Research Intern Microsoft (2012 — 2012)
- Research Intern Microsoft (2011 — 2011)
Publications
Dissertation
- Adel Javanmard, “Inference and Estimation in High-dimensional Data Analysis,” Stanford University Ph.D. Dissertation, July 2014
Winner of the 2015 Thomas Cover Dissertation Award from the IEEE Information Theory Society.
Videos
Dynamic Incentive-aware Learning, Adel Javanmard 10/06 | IEOR-DRO Seminar
Reasoning about Uncertainty in High-dimensional Data Analysis
Adel Javanmard
A Flexible Framework for Hypothesis Testing in High-Dimensions
Read about executive education
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