Alexander Plavin
Postdoctoral Researcher at Harvard University
Cambridge, Massachusetts, United States
Summary
👤
Senior🎓
Top SchoolAlexander Plavin is a postdoctoral researcher and astrophysicist at Harvard's Black Hole Initiative with 14 years of experience applying multimessenger astronomy to study quasars and supermassive black holes. He combines a strong applied mathematics background from MIPT and data science training at Yandex with a PhD in Physics & Astronomy to build statistical models and uncover patterns in large, heterogeneous datasets. Practically fluent in Julia, Python, and C++, he bridges observational work—from radio interferometry and the Event Horizon Telescope—to high-energy neutrino studies and large-scale data pipelines. Beyond academia, he contributes to open-source tooling and build automation (notably work on pandasql and BinaryBuilder/JuliaPackaging recipes), reflecting a focus on reproducible, cross-platform computational workflows.
15 years of coding experience
Master of Science Mathematics, Master of Science Mathematics at Moscow Institute of Physics and TechnologyDoctor of Philosophy Physics and Astronomy, Doctor of Philosophy Physics and Astronomy at Lebedev Physical InstituteData Science, Data Science at Yandex School of Data Analysis
Russian, English
Stackoverflow
2,209reputation
266kreached
8answers
51questions
Github Skills (36)
postgresql10
pytest10
python10
crossbuild10
package-management10
testing10
pandas10
databases10
pbuilder10
sqlalchemy10
sql10
build-automation10
cross-compiling10
embedded-database10
julia10
Programming languages (15)
Github contributions (5)
yhat/pandasql
Dec 2015 - Dec 2015
sqldf for pandas
Role in this project:
Back-end Developer & QA Engineer / Test Automation Engineer
Back-end Developer & QA Engineer / Test Automation EngineerContributions:30 commits, 1 PR, 1 comment in 4 days
Contributions summary:Alexander significantly contributed to enhancing the `pandasql` library, a tool that allows SQL queries on pandas DataFrames. Their work includes supporting the PostgreSQL database backend using SQLAlchemy, refactoring and reformatting the codebase for improved readability, and implementing a class interface for streamlined usage. Moreover, the user implemented tests using pytest to verify the functionality of the library across different database backends, ensuring its reliability.
pandassqldf
JuliaPackaging/Yggdrasil
Aug 2020 - Jan 2022
Collection of builder repositories for BinaryBuilder.jl
Role in this project:Automation Engineer / Build & Release Engineer
Automation Engineer / Build & Release EngineerContributions:10 reviews, 14 commits, 20 PRs in 1 year 5 months
Contributions summary:Alexander primarily focuses on creating and updating recipes for building software packages within the BinaryBuilder.jl framework, as indicated by the repeated "add recipe" and "update" commit messages. Their contributions span the creation of new recipes for tools like PGPLOT, difmap, squashfs-tools, TDLib, SQLCipher, and the maintenance and updates of existing recipes, including sqlite and ImageMagick. The modifications involve adapting build scripts, updating dependencies, and adjusting configurations to ensure successful builds across various platforms. The user demonstrates expertise in building and managing build processes.
repositoriesbinarybuildermonorepobuilderjulia
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