Polina Vertex is a multidisciplinary researcher and product lead with 16 years' experience bridging quantitative analysis, policy research and decentralized web product development. Currently a Senior Researcher at Cambridge Judge Business School, she previously led research and product at Syntagma Labs and has completed impactful projects for the UN, The Economist, FAO and Microsoft before age 27. She holds two quantitative master’s degrees (Political Science and Economic Data Analysis) and combines rigorous data skills with hands-on engineering contributions—such as enhancing the widely used python-fitparse library for Garmin .FIT parsing. Passionate about democratizing the web, she also drives gender equity in high-tech through the Syntagma Ladies Club and active membership in multiple women-in-tech networks. Colleagues describe her as a researcher who turns complex data into practical, product-ready insights that inform policy and decentralized technology design.
16 years of coding experience
3 years of employment as a software developer
Russian Youth Environmental Program (RYEP), Russian Youth Environmental Program (RYEP) at Dartmouth College
University of Bologna
Bachelor's degree, International affairs (Department of European Studies), Bachelor's degree, International affairs (Department of European Studies) at Saint Petersburg State University (SPBU)
Master of Arts - MA, Economic Data Analysis, Master of Arts - MA, Economic Data Analysis at Prague University of Economics and Business
Master's degree, Department of Political Science, Master's degree, Department of Political Science at Central European University
Contributions:6 commits, 1 PR, 7 comments in 1 day
Contributions summary:Polina primarily contributed to the `python-fitparse` library by adding support for new data types and features related to the parsing of Garmin FIT files. Their commits include modifications to the core parsing logic, specifically within the `records.py` and `profile.py` files, which demonstrates a deep understanding of the data structures and encoding used within the FIT file format. They also improved the utility scripts related to generating profile information from the FIT SDK.
A FIT file parsing and decoding library written in Python3
Contributions:154 commits, 2 PRs, 49 pushes in 3 years 3 months
pythondecodingdecoding-libraryfitparsing
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Polina Vertex - Research Affiliate, Senior Researcher