Kento A is a Computational Science and Engineering PhD candidate in Chemical Engineering at MIT with 10 years of cross-disciplinary experience applying machine learning, quantum chemistry, and computational modeling to drug discovery and thermochemistry. At MIT he focuses on ML-augmented 3D drug design, building on prior work at Brown where he developed software that couples experimental and quantum mechanical energies to compute high-accuracy heats of formation for large molecules (applications to PFAS) and published multiple DOIs. His background spans academic research, teaching, and industry internships—from implementing cardiomyocyte ODE models for cardiac toxicity at Bristol Myers Squibb to developing antimicrobial materials in industry—giving him a practical systems perspective on modeling and deployment. Comfortable with both atomistic simulation and ML-driven design, he brings a rare combination of hands-on code development and rigorous thermochemical validation to computational drug design.
10 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Chemical Engineering and Computation, Doctor of Philosophy - PhD, Chemical Engineering and Computation at Massachusetts Institute of Technology
Master of Science - MS, Data-Enabled Computational Engineering and Sciences, Master of Science - MS, Data-Enabled Computational Engineering and Sciences at Brown University
High School Diploma, High School Diploma at North Kingstown Sr. High School
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