The application of computing, particularly for analyzing DNA and protein sequences and various forms of OMICS data has become common today. While a course in bioinformatics is part of the standard curriculum in most computer science departments, the picture was vastly different just a couple of decades ago. More interestingly perhaps, the role computer science can take in advancing biomedicine and human health can be far more ambitious and impactful beyond the sub-disciplines of traditional bioinformatics.
In this talk, I will draw upon my experience in industrial and academic research at the interface of computer science and biomedicine/health. I will provide highlights of how problems varying from modeling of molecules to modeling epidemics can benefit from results in computer science research. Simultaneously, these domains also challenge the state-of-the-art in computer science and provide opportunities for its progress.
Rahul Singh is a professor in the department of computer science at San Francisco State University and a professor (by affiliation) at the Center for Discovery and Innovation in Parasitic Diseases, UC-San Diego. His interests lie in employing computer science to open new ways to study and find cures for diseases. Also, he is especially invested in developing a new generation of scientists who can work at the interface of computer science, biomedicine, and health.
Prof. Singh received his PhD from the University of Minnesota and his Diplom from the Moscow Power Institute. Prior to joining academia, he was a principle scientist at Scimagix. Earlier he founded and headed the computational drug discovery group at Exelixis. At Scimagix, Dr. Singh’s work led to the development of ProteinMine© - a commercial system for proteomics data storage, mining and analysis, which received the Frost & Sullivan Technology Innovation Award. His work at Exelixis has in-part, led to two marketed Oncology drugs: Cabozantinib and Cobimetinib. Professor Singh is a recipient of the CAREER award of the National Science Foundation. His research has been supported, among others, by the NIH, the NSF, and a number of philanthropic foundations.