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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.

• He has been 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.

• Dr. Sethi specializes in improving outcomes in neonatal, child and maternal health by bridging medicine and artificial intelligence.

• His research is focused on the development and deployment of machine-learning-based solutions to enable decisions and policies in passing healthcare questions such as antimicrobial

resistance, sepsis and health inequalities in intensive care and public health settings.

• He has authored over 20 research articles and has been a recipient of MIT-TR35 India

  Innovators under 35, Wellcome 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.

• He leads the Australasia region for the International Association of Systems and Networks

  Medicine (IASyM).

  His Teaching Interests include Statistical, Complex networks and machine learning modelling for medicine and biology, Human physiology and computation for next-generation medicine.