Computational Protein Design Scientist | AI & Protein–Protein Interactions | Molecular Pharmacology

Integrating AI and experimental biology to design, engineer, and translate protein–protein interactions into next-generation therapeutic strategies.

I am a postdoctoral researcher working at the interface of AI-driven protein design and molecular pharmacology, focused on translating computational insights into experimentally validated systems.

During my research experience at UCSF, I have worked with Prof. Jason Gestwicki and Nobel Laureate Prof. Stanley Prusiner, gaining strong expertise in both computational and experimental approaches to understand and modulate protein function.

My work combines tools such as AlphaFold, ProteinMPNN, and RFdiffusion with wet lab validation to design and engineer protein–protein interactions. I have established platforms to develop peptide-based chemical tools for enzyme activation and led projects aimed at identifying novel protein interaction partners, as well as engineering systems to bring proteins into close proximity for functional modulation.

I am particularly interested in how AI-driven design and chemical biology can be integrated to accelerate drug discovery and enable new therapeutic modalities.

I am currently expanding my network within the biotech and pharmaceutical community in Japan and welcome connections with researchers and industry professionals working in protein engineering, computational biology, and drug discovery.

Feel free to reach out if you would like to exchange ideas or discuss ongoing work.