Michalina Pacholska is a research scientist with 11 years of interdisciplinary experience bridging mathematics, signal processing, computer vision and computational biology. Her PhD from EPFL explored sampling geometry, colour and SLAM after prior work in Fourier optics and laser experimentation, and she earned a Dissertation Award for her thesis. She has shipped high-impact engineering prototypes—from a C++ data pipeline at Google that cut daily data from terabytes to gigabytes, to a fast side-chain prediction adaptation of AlphaFold2 at DeepMind—and recently helped found Cosimmetry to keep a research team intact. Comfortable shifting between deep theory and hands-on implementation, she has also advised interns and translated literature into client-ready reviews for defence projects. Outside work she draws and codes webcomics, bringing a creative mathematician’s mindset to technical problem solving.
11 years of coding experience
6 years of employment as a software developer
Exchange, Exchange at Ecole polytechnique fédérale de Lausanne
Bachelor's degree, Mathematics, Bachelor's degree, Mathematics at University of Warsaw
Code for papers 'Sampling at unknown locations: Uniqueness and reconstruction under constraints' and 'Sampling at unknown locations, with an application in surface retrieval'
Contributions:8 PRs, 22 pushes, 2 branches in 5 years 2 months
Copy of the Historical Lippmann repository that was lost in the depths of C4science
Contributions:1 release, 68 commits, 3 PRs in 4 years 10 months
historicallost
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Michalina Pacholska - Research Scientist at Cosimmetry