Meet the Team
Principal Investigator
Dr. Tavpritesh Sethi
Dr. Tavpritesh Sethi is a physician-scientist and Assistant 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. Over the past two years, 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, 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 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 and leads the Australasia region for International Association of Systems and Networks Medicine (IASyM).
View profilePhD Scholars
Ayushi Gupta
PhD Scholar, IIIT Delhi, AI in Public and Clinical Health
PhD Scholar at TavLab
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Jasmine Kaur
AI for Public Health
With eight years of experience at the ICMR-Antimicrobial Surveillance Network, I specialize in applying AI/ML in healthcare (specifically to enhance infectious disease surveillance). My contributions have led to over 20 publications, including significant findings on AMR recently published in The Lancet Regional Health Southeast Asia.
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Akshaya Devadiga
AI for Critical Care
Driven by curiosity and innovation, my research @ TavLab is pushing the boundaries of knowledge in AI
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Aakansha Gupta
AI/ML in Healthcare
PhD Scholar, Artificial Intelligence applied in Genomics
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Varsha Ravi
AI/ML in Genomics
Understanding the mutational landscape of RNA-viruses and finding the structural and functional aspects for the disease severity and host pathogen response.
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Pallawi Kumari
AI/ML in Bioinformatics and Big Data Analysis
My interest involves developing a machine-learning framework for multi-omics data to elucidate the interplay between host genes, microbiomes, and metabolic pathways. The aim of this study is to uncover disease-specific associations and understand microbial pathogenicity at a deeper biological level specially for infectious diseases.
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Mansi Goel
AI/ML in Healthcare
Blending my passion for healthcare with computational biology, leveraging data science to pioneer tranformative innovations @TAVLAB
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