Elucidating the origins of reaction selectivity using stereoelectronic-state informatics
Awards and Honors
Outstanding Poster Award, 2026 Spring Meeting of the Society of Computer Chemistry, Japan. Presentation: Prediction and interpretation of reaction selectivity through data-driven analysis of noncovalent-interaction fields in transition states. SCCJ
Outstanding Presentation Award, 47th Chemoinformatics Discussion Meeting. Presentation: Prediction and interpretation of enantioselectivity in asymmetric ketone reduction using a molecular-field analysis method that evaluates electronic states. Program
Research Support
JSPS Research Fellowship for Young Scientists (DC2)Selected for FY2026. Project: “Quantitative elucidation of the relationship between stereoelectronic states and reaction facial selectivity using data-driven methods.” JSPS
SPReAD: Exploratory Research for AI for ScienceSelected in the first FY2026 call. Principal investigator for “Development of reaction-selectivity prediction AI by integrating reaction-path exploration and stereoelectronic-state analysis.” MEXT
YNU-BOOSTNext-generation AI researcher-development project addressing social challenges through co-creation among diverse AI approaches. YNU AI News