Danny Diaz
Co-Founder & CEO at Institute for Foundations of Machine Learning
Austin, Texas, United States
Summary
👤
Senior🎓
Top SchoolDanny Diaz is a founder and AI-driven protein engineer who designs and commercializes enzyme technologies that span diagnostics, therapeutics, and sustainable biomanufacturing. With a PhD in Chemistry and eight years bridging wet-lab enzymology and machine learning, he has AI-engineered solutions from PET-degrading plastics enzymes to polymerases for COVID diagnostics and therapeutic targets now in preclinical trials. He leads the Deep Proteins Group at IFML and recently founded a stealth biotech to translate AI-designed enzymes into real-world products. Unusually, his background blends hands-on organic synthesis and enzymology with software engineering and data science, enabling end-to-end development from molecular design to scale-up. Based in Austin, he focuses on translating advances in protein design into durable impact on human health and the planet.
8 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD, Chemistry, Doctor of Philosophy - PhD, Chemistry at The University of Texas at AustinBachelor's degree, Chemistry, Bachelor's degree, Chemistry at Texas A&M University
English, Spanish
Github Skills (97)
bioinformatics10
structural-biology9
chemistry9
blast9
python9
gpu9
pdb9
crystallography9
docking9
machine-learning9
surface9
proteins9
biophysics9
pdb-files8
calculator8
Programming languages (9)
Github contributions (5)
danny305/freesasa
Feb 2021 - Apr 2024
C-library for calculating Solvent Accessible Surface Areas
Contributions:2 reviews, 5 PRs, 82 pushes in 3 years 2 months
accessiblesurfaceareasc-library
danny305/MutComputeX
Mar 2023 - May 2024
Contributions:1 release, 3 PRs, 17 pushes in 1 year 2 months
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