Summary

Ph.D. student specializing in the intersection of machine learning, chemistry, and biological data. I possess a solid background in deep learning development and excel at leveraging PyTorch, GNNs, and custom attention models to solve complex modeling problems in biochemical systems.

Education

• Informatics

  Present
  Kyoto University
• Chemical Engineering

  2025
  Dalian University of Technology

  GPA: 3.29/4.0
• Applied Chemistry

  2022
  Qingdao University of Science & Technology

  GPA: 3.10/4.0

Work Experience

• Ph.D. Researcher

  2025 - Present
  Interkcat Model Development and High-Performance Computing.

  • Leveraged PyTorch to optimize advanced neural network architectures, achieving high-precision prediction of enzyme catalytic activity.
  • Accelerated the training of Protein Language Models via CUDA-based GPU parallel computing.
• Research Assistant

  2022 - 2025
  Machine Learning-based Catalyst Design and Reaction Prediction.

  • Developed a clustering algorithm based on physicochemical descriptors to precisely identify solvent candidates.
  • Developed Python scripts to automatically crawl and analyze academic papers in the field of perovskite solar cells.

Skills

Publications

• Beyond Rapid Nucleation: Unveiling the Role of Solvent-Precursor Interactions in Antisolvent-Free Perovskite Fabrication

  2026
  Energy Environ. Sci.
• Designing Buchwald–Hartwig Reaction Graph for Yield Prediction

  2025
  The Journal of Organic Chemistry

Languages

• Chinese

  Native
• English

  Professional
• Japanese

  intermediate