About me
W. Z.
Ph.D. Student in Informatics
Kyoto University | Supervisor: Prof. Takeyuki Tamura
🧬 Biography
I am a Ph.D. student at the Graduate School of Informatics, Kyoto University. My research stands at the convergence of Machine Learning, Cheminformatics, and Bioinformatics.
I am committed to developing advanced deep learning frameworks to decode complex biochemical systems. My current research focus includes:
- Interkcat Framework: Developing Attention-based deep learning models for high-precision prediction of enzyme kinetic constants (kcat).
- Protein Engineering: Utilizing Attention Site Mapping to identify lethal mutation sites and “hit zones” in enzymes.
- AI for Science: Implementing ML frameworks for solvent identification and precursor coordination in Perovskite Solar Cells to optimize film fabrication.
🛠 Technical Stack
PyTorch Graph Neural Networks (GNNs) Transformer & Attention RDKit Scikit-Learn Metabolic Modeling (GEMs) Linux / CUDA
📢 News & Updates
Apr 2026 Research article accepted for publication in Energy & Environmental Science (EES).
Mar 2026 Successfully completed point-by-point reviewer responses for the solvent identification framework in perovskite research.
Oct 2025 Commenced Ph.D. journey at the Laboratory of Mathematical Bioinformatics, Kyoto University.
🎓 Education
Ph.D. in Informatics Kyoto University, Japan Oct 2025 – Present M.Eng. Chemical Engineering Dalian Univ. of Technology, China Sep 2022 – Jun 2025 B.S. Applied Chemistry Qingdao Univ. of Sci. & Tech., China Sep 2018 – Jun 2022