Shawn Chen

Shawn Chen is an Assistant Professor of Computer Science at Hamilton College, focusing on deep learning and its applications in computational biology and bioinformatics. His research emphasizes protein structure prediction, determination, and function prediction.

Educational Background:

• Ph.D., University of Missouri-Columbia
• M.A., University of Missouri-Columbia
• B.S., Anhui Polytechnic University, Wuhu, China

Shawn's work bridges deep learning with computational biology, particularly in enhancing protein structure prediction through cryo-EM map enhancement, graph neural networks, and genome-scale modeling tools. His publications reflect expertise in AI-driven structural validation, protein complex quality assessment, and dataset creation for computational methods.

Recent trends in his research include leveraging long-tail gene ontology terms for protein function prediction, integrating equivariant graph neural networks for 3D structure refinement, and advancing template-free prediction via deep ranking algorithms.

He is accessible via email at schen3@hamilton.edu and located in Taylor Science Center, Room 2016.