Summary
Cody Krivacic is a Principal Scientist with over a decade of experience at the intersection of computational protein design and therapeutics, currently driving ML-guided biologics discovery at GSK after co-founding and shaping technical strategy at Evercrisp Biosciences. He combines a PhD in bioengineering with hands-on expertise in generative AI, diffusion models, protein LLMs, and Rosetta to create novel design protocols and predictive models that bias libraries toward developable miniprotein binders. His work has translated to in vivo functional uptake across multiple projects, reflecting a rare ability to close the loop between computation and experiment. At Evercrisp he led five successful initiatives and mentored team members while supervising ML engineering efforts, and at UC Berkeley/UCSF he contributed foundational methods like "Pull Into Place" for precise functional residue positioning. Known for blending deep learning with structural informatics, he pursues pragmatic innovation that accelerates therapeutic discovery. Based in San Francisco, he brings both startup agility and pharmaceutical rigor to complex protein engineering challenges.
8 years of coding experience
8 years of employment as a software developer
Bachelor’s Degree, Biochemistry, Bachelor’s Degree, Biochemistry at UC Santa Barbara
Doctor of Philosophy - PhD, Bioengineering, Doctor of Philosophy - PhD, Bioengineering at University of California, San Francisco