IISER MOHALI

Abstract: AI is making great strides in advancing biomedical research. In this talk, I will discuss two recent examples where AI has contributed significantly to infectious disease modelling. In the first example, I will describe efforts to construct the fitness landscape of HIV based on which optimal antibody therapy protocols can be designed. In the second example, I will discuss the use of large language models (LLMs) for epidemic forecasting in the context of COVID-19.

About the Speaker: Prof. Narendra Dixit leads the Therapeutic Engineering Laboratory in the Chemical Engineering Department at the Indian Institute of Science, Bangalore. He is also an Associate Faculty of the Department of Bioengineering. He received his BTech from IIT Bombay and MS and PhD from University of Illinois, Urbana-Champaign (UIUC), all in Chemical Engineering. He did postdoctoral studies at the Los Alamos National Laboratory, USA before joining IISc. He serves on the editorial boards of PLoS Computational Biology and mBio. His interests are in computational biology, focusing on infectious diseases and microbiomes (https://chemeng.iisc.ac.in/telab/).