CV

Education

Ph.D. in Informatics, Kyoto University, Japan (2025 - Present)
- Focus: Machine Learning & Metabolic Modeling
M.Eng. in Chemical Engineering, Dalian University of Technology, China (2022 - 2025)
- GPA: 3.29/4.0
B.S. in Applied Chemistry, Qingdao University of Science & Technology, China (2018 - 2022)
- GPA: 3.10/4.0

Integration of Machine Learning and Metabolic Models Kyoto University (Lab: Tatsuya Akutsu) | 2025 - Present

InterKcat Model Development: Optimized advanced neural network architectures using PyTorch to achieve high-precision predictions of enzyme catalytic activity.
High-Performance Computing: Trained protein language models using CUDA-based GPU parallel acceleration to efficiently handle large-scale biochemical training datasets.
Interdisciplinary Decoding: Applied linear algebra and statistical tools to parse complex biological data and construct robust predictive systems.

ML-Based Catalyst Design & Reaction Prediction Dalian University of Technology (Supervisor: Yang Li) | 2022 - 2025

Computational Chemistry: Investigated transition metal catalytic mechanisms and characterized novel aromatic systems using quantum chemistry approaches.
Solvent Screening System: Developed a clustering algorithm based on physicochemical descriptors for precise solvent candidate identification.
Automated Data Mining: Wrote Python scripts to automatically crawl and analyze thousands of academic papers in the field of perovskite solar cells.