Computational chemist by training, with postdoctoral studies in structure-based drug discovery using HPC, who later spent 12+years at Astellas Pharma Inc. Experienced project leader in Astellas Pharma at MELLODDY consortium.
I am currently leading AI-driven drug discovery as a chemoinformatician/computational chemist. I have much experience in research collaborations with pharmaceutical companies, AI startups, and academia. With the increasing need for data-driven drug discovery strategy utilizing machine learning and/or AI, I am applying cutting-edge technologies such as deep learning to practical applications, for instance, conducting applied research on efficient molecular design and highly accurate compound property prediction.I hold the degree of PhD in Pharmaceutical Sciences and the Pharmacist License in Japan, and prior to joining Astellas Pharma in 2009, I was certified as a Super Creator under the MITOU program in 2006 and studied high-performance molecular simulations for drug discovery under the Junior Research Associate program at RIKEN in 2007-2009.
To generate creative and innovative solutions for unmet medical needs by using my expertise in AI-driven drug discovery as a chemoinformatics/computational chemistry scientist and professional networks built in my 12 years’ experience in a pharmaceutical industry.
Support for overseas companies' business expansion in Japanese drug discovery market.