Max Frank
Computational Biologist
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolMax Frank is a computational biologist with nine years of experience specializing in single-cell multi-omics and probabilistic modeling of epigenomic and proteomic data. Trained at ETH Zürich and Heidelberg (PhD), he has driven methodological work during a long EMBL PhD and brief DKFZ postdoc before joining the Chan Zuckerberg Biohub Network in San Francisco. Max combines deep statistical modeling with practical software development for high-throughput single-cell assays, and has a background implementing algorithms for SEC-SWATH-MS and computational proteomics. He bridges academic rigor and production-oriented research, favoring probabilistic approaches that quantify uncertainty in complex multi-modal datasets. An understated strength is his repeated collaborations in elite labs, signaling both technical depth and the ability to adapt across international research environments.
9 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD, Biology, General, Doctor of Philosophy - PhD, Biology, General at Heidelberg UniversityMaster of Science - MS, Systems Biology, Master of Science - MS, Systems Biology at ETH Zürich
Github Skills (46)
muon10
data-storage10
tsne10
scanpy10
datasets9
climate-science9
python8
multimodal8
dia8
bayesian-statistics7
stochastic-processes7
genomics7
jupyter-notebook7
gpflow6
plotly6
Programming languages (4)
Github contributions (5)
CCprofiler/CCprofiler
Nov 2016 - Jul 2020
Analysis of co-fractionation MS datasets
Contributions:215 commits, 5 PRs, 34 pushes in 3 years 9 months
analysisdata-storagedatasetsclimate-sciencetsne
mffrank/mffrank.github.io
Mar 2024 - Feb 2025
Contributions:38 pushes, 10 branches in 11 months
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