Pawel Renc
Research Scientist at Snowflake
Bellevue, Washington, United States
Summary
👤
Senior🎓
Top SchoolPawel Renc is a research-driven machine learning engineer and postdoctoral researcher with nine years of experience building AI systems across healthcare, high-performance computing, and industry product teams. He specializes in foundation models for electronic health records and has developed a patient "digital twin" EHR FM during his PhD, aiming to improve treatment planning and personalized care. His background in CUDA-based GPU algorithms and distributed GNN training at ETH Zürich enables him to bridge scalable engineering with clinical ML research, and he has applied that expertise in industry roles at Snowflake, leading agentic medical coding research. Pawel also brings practical data-science product experience from roles at QED and earlier software engineering positions, and he has a track record of translating research prototypes into applied tools for healthcare clients. Based in Bellevue, WA, he combines deep technical rigor with a focus on real-world clinical impact — often tackling the engineering challenges that make large medical models deployable.
9 years of coding experience
3 years of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at Università della CalabriaAGH University of KrakowAGH University
Stackoverflow
151reputation
9kreached
3answers
9questions
Github Skills (60)
sql9
database9
cpp9
embedded9
rust8
clickhouse8
twine8
medical8
solver8
ai8
analytics8
mysql7
big-data7
olap7
cloud-native7
Programming languages (7)
Github contributions (5)
EpistasisLab/EBIC.jl
Dec 2020 - May 2022
EBIC - a biclustering algorithm in Julia
Contributions:82 commits, 11 PRs, 32 pushes in 1 year 5 months
julia
aI-lab-glider/nurse-scheduling-solver
Aug 2020 - Jul 2021
Docs: https://project-summer-ai-lab-glider.github.io/nurse-scheduling-problem-solver/dev/
Contributions:88 reviews, 103 commits, 69 PRs in 10 months
pythonschedulingnursedevsolver
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