Mikito Fujinami

Mikito Fujinami is an Assistant Professor at the Research Institute for Science and Engineering, Waseda University. He earned his Ph.D. in Science from Waseda University in March 2020 and has held academic positions there since 2018. His research spans computational chemistry, machine learning, and cheminformatics.

• Doctoral Degree: Waseda University Graduate School of Advanced Science and Engineering (2020)
• Professional Memberships: The Molecular Science Society, Theoretical Chemistry Association, Organic Synthesis Chemistry Association, The Chemical Society of Japan

His research focuses on integrating machine learning with quantum chemical descriptors for reaction prediction, solvent selection, and experimental automation. He has developed systems for automated chemical experiment recognition using computer vision and machine-learned kinetic energy functionals for orbital-free DFT calculations.

Scientific awards include:

• Doctoral Degree Award (Waseda University, 2020)
• Poster Award (41st Chemoinformatics Symposium, 2018)
• Excellent Poster Presentation Award (CSJ Chemical Festa 2016)
• Best Oral Presentation Award (39th Chemoinformatics Symposium, 2016)

He has also contributed to educational materials, including a 12-part series on machine learning applications in chemistry and co-authored books on cheminformatics and materials informatics.