Machine learning
Python, PyTorch, TensorFlow, Linux shell; representation learning, multi-task learning, parameter-efficient fine-tuning, model training and evaluation.
Experience
Education, practice, and collaboration
From pharmacy training to computational biology, I bring domain questions, algorithms, and reproducible workflows into one frame.
Skills
Computational and research skills
Computational drug discovery
Protein and peptide design, sequence and structural analysis, molecular docking, molecular dynamics, virtual screening, Rosetta; cross-validation, ablation studies, and reproducible workflows.
Engineering and languages
Batch GPU computing and web-based scientific platform development. College English Test: CET-6 525; CET-4 545.
Education
Tsinghua Shenzhen International Graduate School
Ph.D. candidate in Biology
Joint doctoral training at the Shenzhen Medical Academy of Research and Translation (SMART). Advisor: Prof. Yaoqi Zhou.
School of Pharmacy, Fudan University
M.Sc. in Medicinal Chemistry
Computer-aided drug design and AI-based protein design. Advisors: Renxiao Wang and Yifei Qi.
School of Pharmacy, China Pharmaceutical University
B.Sc. in Pharmacy
Undergraduate training in pharmaceutical sciences.
Internships
PharmaBlock Sciences (Nanjing), Inc.
Intern, Metal Catalysis Department
Jiangsu Jinglixin Pharmaceutical Technology Co., Ltd.
Intern, Synthesis Department
Nanjing Nanda Pharmaceutical Co., Ltd.
Intern, Quality Department
Awards
Xiaomi Scholarship, Fudan University
Scholarship recipient
Second-Class Academic Scholarship, Tsinghua SIGS
Academic scholarship recipient
Challenge Cup Innovation & Entrepreneurship Competition
First Prize at Fudan University; Shanghai Grand Prize. Led Deep Universe, an AI drug design platform, with responsibility for macromolecular modeling and web platform development.
Synthetic Biology Innovation Competition
Gold Award, Protein Design Track. Team captain, responsible for computational sequence design.