Andrew Rzepiela
Lead Data Scientist
Zurich, Zurich, Switzerland
Summary
👤
Senior🎓
Top SchoolAndrew Rzepiela is a Lead Data Scientist based in Zurich with eight years of experience applying mathematical modeling, machine learning, and large-scale computing to biological imaging and omics data. At ETH Zürich he drives data-analysis projects for ScopeM, builds HPC and virtualization solutions for image analysis, and leads funded research into image generation and denoising for cryo-electron microscopy. His background spans stochastic simulation of protein dynamics, single-cell and high-throughput sequencing analysis, and multi-scale molecular dynamics from a PhD in Computational and Theoretical Chemistry. He combines academic rigor—evidenced by SNF and Novartis-backed projects and successful PhD/postdoc supervision—with hands-on engineering for translational bio-med applications. Notably, he bridges physics-based modeling and modern ML approaches to tackle noise reduction and realistic image synthesis in microscopy, enabling both client-driven and exploratory research.
8 years of coding experience
11 years of employment as a software developer
PhD Computational and Theoretical Chemistry, PhD Computational and Theoretical Chemistry at University of GroningenM.Sc. Computational Chemistry Biophysics, M.Sc. Computational Chemistry Biophysics at Jagiellonian University
English, Polish, German
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (6)
seq4
autoencoder3
bioinformatics3
denoising2
python1
image-processing1
Programming languages (1)
Github contributions (5)
frcCVPR/frc-loss
Dec 2021 - Jan 2022
Contributions:13 commits in 1 month
ajrzepiela/crefDenoiser
Dec 2023 - Dec 2024
Repository of crefDenoiser model
Contributions:2 pushes in 11 months
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