Summary
Eitan Turok is an AI research scientist at MosaicML x Databricks and a Columbia senior with a 3.98 GPA, combining rigorous math and CS foundations with hands-on research in privacy-preserving ML and non-stationary demand forecasting. He has published work on DP-SMOTE for synthetic data generation and built models that decompose trend, seasonality, and noise to improve forecasting over classical baselines. Past projects include implementing and empirically validating NeurIPS research on clustering and developing an NLP classifier for date importance, showing breadth across theory and applied systems. He co-founded StudBud, a student-matching startup that reached 1,300+ sign-ups and won an innovation award, illustrating product instincts alongside research depth. Based in the NYC area and an avid rock climber, he brings a mix of academic rigor, startup experience, and practical engineering to ML research problems.
2 years of coding experience
2 years of employment as a software developer
Bachelor's degree, 3.98, Bachelor's degree, 3.98 at Columbia University in the City of New York
Yeshivat Eretz HaTzvi
Sar High School
Physics, First Year, Physics, First Year at University of Chicago