Summary
Gregorio Alanis-lobato is a Principal Computational Biologist with nine years of experience applying network science, machine learning, and data analytics to drive data-driven target identification and indication expansion at Boehringer Ingelheim. He blends a strong academic foundation—a PhD in Computational Biology and an MS in Computer Science from KAUST—with hands-on research at institutions like the Francis Crick Institute and Johannes Gutenberg University. Gregorio specializes in translating complex biological networks into actionable insights for wet-lab teams, pairing rigorous computational methods with practical drug-discovery goals. Outside work he is an avid reader, a former national-level discus thrower who won silver at Mexico’s National Olympic Games, and a seasoned traveler who has visited 39 countries—traits that reflect curiosity, discipline, and a global perspective he brings to problem solving.
9 years of coding experience
9 years of employment as a software developer
The National Polytechnic Institute of Mexico
Doctor of Philosophy - PhD, Computational Biology, Doctor of Philosophy - PhD, Computational Biology at King Abdullah University of Science and Technology
Spanish, English, German