Researcher (Immunotherapy, Immune Repertoires, Single-Cell Multi-Omics) at Helmholtz Munich
Warsaw, Masovian Voivodeship, Poland
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Summary
🤩
Rockstar
🎓
Top School
Vadim Nazarov is a researcher-engineer and two-time founder who combines 11+ years of hands-on ML/LLM architecture with deep domain expertise in immunology and single-cell multi-omics. He has led interdisciplinary teams and built production-grade ML and MLOps systems as Director of ML at Essence and as co-founder/ML lead of ImmunoMind, which raised $1.5M and produced open-source tools (Immunarch, tcR) used by Pfizer, Stanford and thousands of researchers. At Helmholtz Munich he applies ML to immune repertoires and single-cell transcriptomics to predict immunotherapy outcomes, and his academic work has accrued 1,200+ citations informing 80+ immunotherapies. Vadim brings rare cross-domain fluency—shipping scalable LLM/agentic platforms for regulated environments while also contributing bioinformatics code (e.g., sequence alignment improvements in rust-bio) and widely adopted research software. He mentors startups, conducts VC due diligence, and scales teams under pressure (including supporting 15+ people through relocation during conflict), reflecting both technical breadth and operational grit. Outside work he practices Qigong and Go, signaling a methodical, strategic approach to complex problems.
11 years of coding experience
3 years of employment as a software developer
SkyDeck Accelerator, SkyDeck Accelerator at University of California, Berkeley
Doctor of Philosophy - PhD candidate, Computer Science, Doctor of Philosophy - PhD candidate, Computer Science at Higher School of Economics
Entrepreneurship for Life Science and Healthcare Startups: Master Class Direct from Silicon Valley, Business Administration and Management, General, Entrepreneurship for Life Science and Healthcare Startups: Master Class Direct from Silicon Valley, Business Administration and Management, General at UCSF Innovation Ventures
CDL Berlin – Health, CDL Berlin – Health at Creative Destruction Lab
This library provides implementations of many algorithms and data structures that are useful for bioinformatics. All provided implementations are rigorously tested via continuous integration.
Role in this project:
Back-end Developer
Contributions:34 commits, 1 PR, 1 push in 5 days
Contributions summary:Vadim primarily contributed to the `rust-bio/rust-bio` repository by implementing functionalities for sequence alignment. Their work focused on developing a "pretty" output format for alignments, including the addition of relevant functions. They also added and refined unit tests for various alignment algorithms, including global, local, and semiglobal alignments, demonstrating proficiency in testing and debugging the code. Moreover, the user worked on the Hamming and Levenshtein distance computation, along with performance optimizations.
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