Dr. Tavpritesh Sethi is a physician-scientist and Associate Professor of Computational Biology at Indraprastha Institute of Information Technology Delhi, India and a fellow of the Wellcome Trust/DBT India Alliance at All India Institute of Medical Sciences, New Delhi, India. He was a visiting faculty member at Stanford University, School of Medicine from February 2017 to January 2019. He received his M.B.B.S from Government Medical College, Amritsar and PhD from CSIR-Institute of Genomics and Integrative Biology, New Delhi, India. Dr. Sethi specializes in improving outcomes in neonatal, child and maternal health by bridging medicine and artificial intelligence. His research is focused on development and deployment of machine-learning based solutions to enable decisions and policy in pressing healthcare questions such as antimicrobial resistance, sepsis and health inequalities in intensive care and public health settings. He has authored over 30 research articles and has been a recipient of MIT-TR35 India Innovators under 35, Welcome Trust/DBT India Alliance Early Career Award. He is an editorial board member of PLOS One, Systems Medicine and Journal of Genetics. Dr. Sethi is a member of the European Association of Systems Medicine and leads the Australasia region for International Association of Systems and Networks Medicine (IASyM).
In this episode we discuss with him his evolutionary journey from being a physician to a world renowned physician-data scientist. Dr.Sethi talks about some of his award winning work which is focused on tackling read world challenges with AI such as hand hygiene, COVID-19 pandemic, sepsis and health disparities. He shared his valuable experience of fostering collaboration amongst clinicians, data scientists, governments and other organizations to find scalable AI solutions.Lastly, Dr.Sethi provided his vision for the future opportunities and applications of AI in healthcare and what excites him the most about the future.