Courses and seminars offered by Dr. Shen at Zhejiang University College of Pharmaceutical Sciences.
An advanced graduate-level course covering machine learning and deep learning applied to pharmaceutical research. Topics include molecular representation learning, property prediction, generative drug design, and AI-powered target identification.
Introduces computational approaches in pharmacology including structure-based drug design, QSAR modeling, molecular docking, and bioinformatics pipelines for drug target analysis. Includes hands-on Python programming sessions.
A journal club-style seminar where students read, present, and critically discuss cutting-edge papers at the intersection of AI and life sciences. Topics rotate each semester: generative models, protein structure prediction, single-cell analysis, and clinical AI.
Our courses emphasize hands-on implementation. Students are expected not only to understand theoretical foundations but to build and deploy working AI systems for real pharmaceutical problems. Every course includes a research project component connected to real datasets and open challenges in the field.