Egor Dudyrev
Temporary Teaching Assistant (ATER) at TELECOM Nancy
Nancy, Grand Est, France
Summary
👤
Senior🎓
Top SchoolEgor Dudyrev is a dedicated researcher and educator advancing the intersection of Formal Concept Analysis and Explainable AI. He is a dual-track PhD candidate, currently in his 3rd year at Université de Lorraine and 4th year at HSE University, while also a Doctorant at the LORIA lab in Nancy and a part-time Data Mining seminar teacher at IDMC. His work focuses on translating FCA theory into practical, rule-based XAI approaches. With nine years of experience in research and software development, he combines rigorous academic training with hands-on experimentation in AI explainability. Based in Nancy, he collaborates across France and Russia, leveraging cross-institutional perspectives in his research. He actively communicates his research interests on GitHub as "Developing XAI on rules," signaling a practical, implementable stance toward explainable rule-based systems.
10 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Universite de LorraineDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Higher School of Economics
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (22)
pattern10
python9
representations9
ordered7
science5
exploratory-data-analysis5
benchmarking5
benchmark4
dataframes4
data-analysis4
speech-to-text3
data-science3
machine-learning3
automatic-speech-recognition2
prophet2
Programming languages (4)
Github contributions (5)
EgorDudyrev/EgorDudyrev.github.io
Sep 2023 - Feb 2025
A personal webpage
Contributions:20 PRs, 43 pushes, 19 branches in 1 year 4 months
EgorDudyrev/caspailleur
Dec 2022 - Mar 2023
Minimalistic python package for mining many concise data representations. Part of SmartFCA project.
Contributions:2 releases, 60 commits, 59 PRs in 2 months
fcapythonrepresentationsoperatingmine
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