Summary
Kenichiro Takaba is a computational chemist and manager with around a decade of experience applying molecular simulations, QM, ML and generative AI to drug discovery, now leading the Computational Science Group at Asahi Kasei Therapeutics in Japan. He has driven structure- and ligand-based projects while building infrastructure and automated workflows—docking, QSAR/QSPR, and generative models—that make advanced methods accessible to experimental chemists. His background (PhD in Physics from the University of Tokyo) underpins work on free energy calculations and machine-learned force fields, and he has explored cross-disciplinary approaches during a visiting scientist stint at Memorial Sloan Kettering. Beyond tool development, Kenichiro focuses on human–computer interaction in scientific workflows and on expanding computational science applications outside traditional drug discovery.
8 years of coding experience
13 years of employment as a software developer
University of Tokyo
Bachelor's degree, Applied Physics, Bachelor's degree, Applied Physics at University of Tsukuba