Summary
Japheth G is a Staff Data Scientist based in Houston with 11 years of experience applying machine learning to protein engineering, enzyme design, and bioindustrial problems. He blends deep academic pedigree (PhD in Chemical Engineering) with hands-on industry impact—leading ML-driven protein design programs that produced near-universal top-performing variants and enabling discovery of 100+ plastic-degrading enzymes from billions of candidates. He has repeatedly built cloud ML platforms and cost-optimized deployments (70% compute cost reduction) and authored peer-reviewed models used at Harvard Medical School and national labs. Comfortable spanning research and production, he specializes in LLMs for biological sequences, multi-task learning, and metaheuristic optimization, and has a proven track record of translating models into experimentally validated gains. An interesting through-line: his work often flips expected baselines (e.g., 71% variants beating a <1% expectation), showing a knack for turning noisy biological spaces into reliable design wins.
11 years of coding experience
7 years of employment as a software developer
Bachelor's of Engineering (B.Eng.) Chemical Engineering, Bachelor's of Engineering (B.Eng.) Chemical Engineering at Ahmadu Bello University
Doctor of Philosophy (PhD) Chemical Engineering, Doctor of Philosophy (PhD) Chemical Engineering at University of Kentucky