About me
I am a PhD candidate in Economics at the University of Southern California.
I specialize in Applied Microeconomics and Causal Inference. I have experience using advanced ML methods on large datasets, analysing thousands of A/B experiments, household and individual data, graph networks, vital statistics.
My CV is available here.
Experience
ByteDance Inc., Ads Measurement/Causal Inference team, San Jose
- PhD Researcher Intern | May 2025 - August 2025
- Bayesian modeling and winner declaration for A/B tests using Binomial-Poisson, Dirichlet-Multinomial and Dirichlet Poisson Mixture Modeling with JAX and NumPyro
- PhD Researcher Intern | May 2024 - August 2024
- IPW-GB + post calibration end-to-end model deployment to restore lost conversions. Decreased CPIC by 7%, the model became pivotal for GA launch
- PhD Researcher Intern | May 2023 - August 2023
- Replicating Predictive Incremetality by Experimentation (PIE) Meta paper with TikTok Ads campaign data using custom WRMSE loss function with PyTorch
Universitat Pompeu Fabra, Remote
- Research Assistant for Maria Petrova | November 2020 - August 2021
- IV Lasso Causal analysis using Stata with Wharton Business School remote HPC Cluster
Education
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Ph.D in Economics
University of Southern California, 2021 - Present -
M.Sc. in Economics
New Economic School, MAE, 2018 - 2020 -
B.Sc. in Physics
Moscow Institute of Physics and Technology, DGAP, 2014 - 2018