Alex Velez-arce
Founder & CEO CTO at ArcellAI
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolAlex Velez-arce is a founder and technical CEO with nine years of experience building deep tech and AI-driven platforms, currently leading ArcellAI to create an agentic data layer for techbio R&D. He blends hands-on engineering and research credibility from a postdoctoral-equivalent role at Harvard Medical School with product and startup execution from co-founding stealth AI ventures and launching roles across major tech firms. Based in San Francisco and MIT-trained in Computer Science and Engineering, he moves fluidly between ML infrastructure, full-stack systems, and biomedical informatics. His background includes strategy and scouting roles at Antler, Techstars, and Emerald, reflecting both investor-facing instincts and operational rigor. Notably, he pairs lab-level AI research experience with practical production delivery—turning complex biological data problems into developer-friendly, agentic tooling. He brings an entrepreneurial, interdisciplinary mindset that accelerates translation of AI research into scalable techbio products.
9 years of coding experience
2 years of employment as a software developer
Chemistry coursework, Chemistry coursework at The University of Texas at El PasoPostdoc-equivalent, Artificial Intelligence, Biomedical Informatics, Postdoc-equivalent, Artificial Intelligence, Biomedical Informatics at Harvard Medical SchoolBachelor of Science - BS, Computer Science and Engineering, Bachelor of Science - BS, Computer Science and Engineering at Massachusetts Institute of TechnologyMinor, Management, Mathematical Economics, Minor, Management, Mathematical Economics at MIT Sloan School of ManagementFounding cohort, Calculus House, Founding cohort, Calculus House at The ResidencyOrganic chemistry coursework and hms fellowship, Organic chemistry coursework and hms fellowship at Harvard UniversityMath coursework, Math coursework at University of Puerto Rico-Mayaguez
Github Skills (56)
drug-discovery10
biology10
artificial-intelligence10
commons10
foundation10
machine-learning10
datasets10
medicine10
chemistry10
deep-learning10
cheminformatics10
bioinformatics10
science10
data-science9
vote9
Programming languages (6)
Github contributions (5)
mims-harvard/tdc2website-flask
Jun 2024 - Mar 2025
flask implementation for tdc-2 website
Contributions:25 PRs, 77 pushes, 4 branches in 8 months
WorldBank-Transport/CrashAnalysis
Aug 2017 - Jan 2023
Contributions:5 pushes in 5 years 6 months
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