Peter Cimermancic
Co-Founder at Tesorai
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolPeter Cimermancic is a biotech research leader and co-founder with 12 years of experience applying computational and structural biology, genomics, and proteomics to therapeutic target discovery and modulation. He led pathology machine-learning efforts at Verily and founded Tesorai after co-founding Adrix Therapeutics, combining hands-on method development with entrepreneurship. His work spans novel ML and statistical methods, integrative structural modeling, and practical drug-discovery pipelines—examples include ClusterFinder for biosynthetic gene clusters and CryptoSite for hidden binding-site prediction used by pharma. He has a track record of turning large, noisy datasets into actionable hypotheses and has coordinated multi-lab discovery programs that advanced small-molecule leads to in vivo proof-of-concept. Based in San Francisco with a PhD from UCSF, he blends deep computational expertise with wet-lab collaborations and a knack for translating complex biology into therapeutic strategies.
12 years of coding experience
9 years of employment as a software developer
BS Biochemistry, BS Biochemistry at University of LjubljanaPhD Biomedical Informatics, PhD Biomedical Informatics at University of California, San Francisco
Slovenian, English, German
Github Skills (27)
mass10
mass-spectrometry9
ms-data8
machine-learning7
python7
openms6
windows6
linux6
structural-biology6
data-analysis5
macos5
codebase5
algorithms5
scoring4
lasagne4
Programming languages (2)
Github contributions (5)
verilylifesciences/deepmass
Jun 2018 - Nov 2021
DeepMass is a suite of tools to enable mass spectrometry data analysis using modern machine learning techniques.
Contributions:9 commits, 2 PRs, 6 pushes in 3 years 5 months
techniquesdata-analysispythonspectrometrymass-spectrometry
petercim/ClusterFinder
Nov 2013 - Nov 2013
Contributions:8 commits, 2 comments, 1 issue in 1 day
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