CV

Education

China Pharmaceutical University, Undergraduate, 2023 - Present

• School of Pharmacy, Pharmaceutical Preparations
• Research focus: AI for drug discovery, DTI prediction
• Supervisor: Assoc. Prof. Yanmin Zhang & Dr. Yun Xia

Research/Project Experience

2023.12 - 2024.12 | AI-based Drug-Target Interaction Prediction Model Construction (Core Member) Jiangsu Provincial College Students' Innovation and Entrepreneurship Training Program (Outstanding Completion)

• Participated in research on drug-target interaction prediction models.
• Implemented key parts of the prediction algorithm.
• Continued in-depth follow-up research after project completion, laying the foundation for subsequent competition projects.

2024.12 - 2025.11 | Drug-Target Interaction Prediction Platform Based on Hypergraph Masked Autoencoder (First Contributor)

• Expanded and deepened the DTI prediction task based on prior project outcomes.
• Led algorithm development and platform construction, completing model optimization and system implementation.
• Won the National Grand Prize in the "AI+" track of the 19th Challenge Cup National Undergraduate Science and Technology Competition.

2024.12 - 2025.12 | Omics Big Data-based Platform for Screening Immunotherapy-Potentiating Drugs (Principal Investigator) Jiangsu Provincial College Students' Innovation and Entrepreneurship Training Program (Outstanding Completion)

• Led overall project design and execution.
• Managed preprocessing of high-throughput perturbation expression data, including cleaning, organization, and preparation for analysis.
• Built prediction workflows and advanced the application of bioinformatics methods in transcriptomics research.

Skills

• Ability to process cheminformatics data and build molecular representation models for drug R&D tasks.
• Proficient in constructing, optimizing, and implementing drug-target interaction prediction models.
• Ability to preprocess, clean, organize, and perform basic analysis on high-throughput expression and transcriptomic data.
• Strong in commonly used research workflows, including data analysis, model evaluation, ablation studies, and result visualization.
• Able to read English professional literature proficiently, with foundational academic writing skills.

Awards & Honors

• National Grand Prize in the 19th Challenge Cup National Undergraduate Science and Technology Competition - Communist Youth League of China, CAST, Ministry of Education, etc. (2025.11)