Early Career Seminar Series #4: Prof. Wengong Jin скачать в хорошем качестве

Early Career Seminar Series #4: Prof. Wengong Jin

Wengong Jin is an assistant professor at the Khoury College of Computer Sciences at Northeastern University and a visiting research scientist in the Eric and Wendy Schmidt Center at Broad Institute. He received his PhD from MIT CSAIL, where he was advised by Professors Regina Barzilay and Tommi Jaakkola. His research has been recognized with the BroadIgnite Award, the Dimitris N. Chorafas Prize, and the MIT EECS Outstanding Thesis Award. Prof. Jin’s work focuses on geometric and generative AI models for drug discovery and biology. During his PhD, he led the development of JT-VAE, one of the first deep generative models for molecular graphs, and co-developed ChemProp, a widely used method for molecular property prediction. He is also a pioneer in AI methods for antibody design, having developed RefineGNN and HERN. His recent work includes DSMBind, an unsupervised approach for binding energy prediction, and BindEnergyCraft, a framework for improved protein binder design.