Alexander Panfilov
PhD Candidate
Tübingen, Baden-Württemberg, Germany
Summary
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SeniorAlexander Panfilov is a machine learning researcher and PhD student based in Tübingen with eight years of experience spanning academic research and industry data science. He works at the intersection of robust representation learning and object-centric models, with an ICLR 2024 oral paper on regularization for combinatorial generalization and contributions to benchmarks like ShiftHappens. Alexander has applied ML in production-like settings (X5, Yandex) and in engineering optimization (Bosch), and his recent ARENA capstone explored adversarially trained LLMs and deception probes. Supervised by researchers at MPI-IS and EPFL, he combines strong empirical skills with a track record of competitive mechanistic interpretability work. He is comfortable moving between applied A/B experimentation, tooling for learning analytics, and cutting-edge theoretical problems in robustness and generalization. Non-obvious: he repeatedly bridges applied industry projects and top-tier research outputs, making him effective at translating real-world problems into publishable ML advances.
8 years of coding experience
Github Skills (30)
structures9
hyperparameter-tuning8
keras8
java8
imagenet7
prompt-injection7
jailbreak7
reinforcement-learning7
data-versioning7
data-structures6
evaluation-framework6
collaboration6
hyperparameter-optimization6
deep-learning6
ai6
Programming languages (2)
Github contributions (5)
kotekjedi/GANs-ITMO-2022-Masters
Sep 2022 - Nov 2022
Contributions:36 commits, 27 pushes, 1 branch in 1 month
kotekjedi/kotekjedi.github.io
Oct 2024 - Apr 2026
Contributions:62 pushes in 1 year 6 months
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