Khashayar Khosravi
Quantitative Researcher
Chicago, Illinois, United States
Summary
👤
Senior🎓
Top SchoolKhashayar Khosravi is a quantitative researcher at Jump Trading with eight years of experience bridging machine learning, operations research, and statistics. He completed a PhD at Stanford where his work focused on online decision making, contextual bandits, and causal inference, and previously served as an AI Resident at Google Research NYC. Khashayar has taught convex optimization and lectured at Stanford GSB, bringing both rigorous theory and practical deployment experience to high-frequency decision problems. He combines deep academic pedigree with hands-on industry impact in algorithmic trading, and his background in both electrical engineering and mathematics gives him a rare fluency in theory, modeling, and implementation.
8 years of coding experience
5 years of employment as a software developer
Master’s Degree, Electrical, Electronics and Communications Engineering, Master’s Degree, Electrical, Electronics and Communications Engineering at Stanford UniversityBachelor's Degree, Electrical, Electronics and Communications Engineering, Bachelor's Degree, Electrical, Electronics and Communications Engineering at Sharif University of Technology
Github Skills (4)
panel-data9
causal9
matrix7
data-models7
Programming languages (1)
Github contributions (5)
susanathey/MCPanel
Oct 2017 - Nov 2017
Matrix Completion Methods for Causal Panel Data Models
Contributions:39 commits, 36 pushes in 15 days
panel-datacausaldata-modelspanelmatrix
khashayarkhv/contextual-bandits
Jul 2020 - Jul 2020
Contributions:13 commits in 6 days
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