Bahar Khalighinejad
Data Scientist - Lead
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolBahar Khalighinejad is a Data Scientist and quantitative researcher with nine years of experience applying machine learning and signal processing to alternative data for finance and neuroscience. She holds a Ph.D. in Electrical Engineering from Columbia University, where her neural decoding work earned high-profile recognition (Nature publications, NYC Media Lab Grand Prize, and mentions by NVIDIA and NIH leadership). At Citadel she led the consumer staples sector in the Data Strategies Group, producing monthly inflation forecasts adopted firm-wide by analysts, traders, and data scientists. Now a lead data scientist at Hudson River Trading, she blends academic rigor with production-focused modeling to translate noisy, unconventional signals into actionable forecasts. Notably, her background in brain–computer interfaces gives her a unique perspective on extracting structure from high-dimensional biological and market data.
9 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Electrical engineering, Doctor of Philosophy (Ph.D.) Electrical engineering at Columbia UniversityBachelor's Degree Electrical Engineering, Bachelor's Degree Electrical Engineering at Sharif University of TechnologyGithub contributions (3)
Naplib/Naplib
Jan 2017 - Mar 2017
Contributions:88 commits, 87 pushes, 2 branches in 2 months
baharkh22/Dynamic-Programming
Oct 2018 - Oct 2018
Contributions:1 push, 1 branch in 1 day
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.