| Deep Learning for Drug Discovery and Development |
| Jimeng Sun |
| October 6, 2021, Wednesday, 3:00 PM - 4:00 PM EDT |
| Abstract AI or machine learning can be potentially applied to the entire drug discovery and development pipeline. Every pharma company is interested in AI and ML especially deep learning these days. I will present our recent works using deep learning on these topics, covering drug repurposing, drug drug interaction, drug target interaction, medication recommendation, trial outcome prediction, trial site selection, and patient-trial matching. |
| Bio Jimeng Sun Dr. Sun is a Health Innovation Professor at the Computer Science Department. Before UIUC, he was an associate professor in the College of Computing at the Georgia Institute of Technology. His research focuses on artificial intelligence (AI) for healthcare, including deep learning for drug discovery, clinical trial optimization, computational phenotyping, clinical predictive modeling, treatment recommendation, and health monitoring. He was recognized as one of the Top 100 AI Leaders in Drug Discovery and Advanced Healthcare by Deep Knowledge Analytics. Dr. Sun has published over 120 papers and filed over 20 patents, 5 of which have been granted. He received the SIAM Conference on Data Mining (SDM)/IBM Early Career Data Mining Research Award in 2017, the IEEE ICDM Best Paper Award in 2008, the SDM Best Research Paper Award in 2007, and the SIGKDD Dissertation Award (runner-up) in 2008. He completed his B.S. and M.Phil. in computer science at Hong Kong University of Science and Technology in 2002 and 2003, respectively, and his Ph.D. in computer science at Carnegie Mellon University in 2007. |