Vira Semenova
Assistant Professor Of Economics at University of California, Berkeley
Berkeley, California, United States
Summary
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Senior🎓
Top SchoolVira Semenova is an Assistant Professor of Economics at UC Berkeley, focusing on econometrics and machine learning. Her research blends rigorous statistical methods with data-driven economic analysis to advance causal inference and predictive modeling. She brings a diverse international training background, holding a BA in Economics from Kyiv institutions, an MPhil in Economics and Econometrics from Cambridge, and research stints at MIT, Harvard, and Berkeley. Since 2020 she has been shaping classroom learning and leading research at Berkeley, following a postdoctoral stint at Harvard from 2018 to 2020. Based in Berkeley, she has also gained industry exposure as a Microsoft Research intern, illustrating a track record of cross-pollinating ideas across academia and industry.
9 years of coding experience
4 years of employment as a software developer
Massachusetts Institute of TechnologyMaster of Philosophy - MPhil, Economics and Econometrics, Master of Philosophy - MPhil, Economics and Econometrics at University of CambridgeBachelor's degree, Economics, Bachelor's degree, Economics at National University of Kyiv-Mohyla AcademyBachelor's degree, Mathematics, 5.0, Bachelor's degree, Mathematics, 5.0 at Taras Shevchenko National University of Kyiv
English, Ukrainian, French, German
Github Skills (6)
statistics4
machine-learning3
causal-inference3
random-forest3
econometrics3
data-science2
Programming languages (2)
Github contributions (5)
vsemenova/orthoml
Apr 2019 - Nov 2022
Code associated with paper: Orthogonal Machine Learning for Demand Estimation: High-Dimensional Causal Inference in Dynamic Panels, Semenova, Goldman, Chernozhukov, Taddy (2017) https://arxiv.org/abs/1712.09988
Contributions:36 commits, 63 pushes, 1 branch in 3 years 7 months
vsemenova/leebounds
Aug 2020 - May 2023
Contributions:4 pushes in 2 years 9 months
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