Summary
Olga Gasparyan is an Assistant Professor and computational social scientist with 8–10 years of applied research experience bridging quantitative political science and machine learning. She designs and runs online survey experiments, applies causal inference methods, and develops ML/DL pipelines—most recently for computer vision and large social-media datasets—using Python and R as her primary tools. Her work spans academic teaching, postdoctoral data science coordination, and managing interdisciplinary summer schools, reflecting strong communication and project leadership. She also codes across the stack (HTML/CSS/JS, Bash, SQL) and builds custom parsers and spatial data workflows, a practical skillset that helps turn messy socio-economic data into reproducible empirical evidence.
8 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy (PhD), Political Science and Government, Doctor of Philosophy (PhD), Political Science and Government at University of Rochester
Master's degree, Political Science and Government, MA in Political Science, Master's degree, Political Science and Government, MA in Political Science at State University — Higher School of Economics
English, German, Russian, Spanish