Pratik Shah

Health 0.0
  • Principal Research Scientist

Pratik Shah is the principal Investigator leading the Health 0.0 research lab that creates intersections between deep learning, engineering, and medicine to discover novel  biological and clinical knowledge and technology to diagnose and treat cancer and infectious diseases. 

 His work builds an unified scaffolding of novel deep learning, biological and statistical reasoning methods to resolve distinct hypothesis driven research problems including, for example, how to diagnose and treat cancer disease, how to leverage causal structures in big observational data for unbiased patient centered medicine, and how infectious microbes and host cells adapt during disease – under a single theoretical and methodological framework. We also have significant expertise and motivation for real-world clinical evaluations of  research findings. Our work and findings will establish a new theory and practice for computational medicine research by moving us from a static snapshot of biomedical research to a fully dynamic and living-systems wide perspective of molecular and clinical processes supported by … View full description

Pratik Shah is the principal Investigator leading the Health 0.0 research lab that creates intersections between deep learning, engineering, and medicine to discover novel  biological and clinical knowledge and technology to diagnose and treat cancer and infectious diseases. 

 His work builds an unified scaffolding of novel deep learning, biological and statistical reasoning methods to resolve distinct hypothesis driven research problems including, for example, how to diagnose and treat cancer disease, how to leverage causal structures in big observational data for unbiased patient centered medicine, and how infectious microbes and host cells adapt during disease – under a single theoretical and methodological framework. We also have significant expertise and motivation for real-world clinical evaluations of  research findings. Our work and findings will establish a new theory and practice for computational medicine research by moving us from a static snapshot of biomedical research to a fully dynamic and living-systems wide perspective of molecular and clinical processes supported by meaningful and equitable medical technology for improving health and managing diseases. Key goals are: 1) Novel medical technologies for translational clinical and biomedical research and real-world benefit for patients and providers; 2) Augmenting artificial intelligence , machine learning , medical imaging and neural network capabilities for personalized digital medicines; and 3) Empowering patients, physicians, researchers, and regulators for making informed and equitable healthcare decisions. Recent work from his lab has been published in Nature Digital Medicine, Cell pressJournal of American Medical AssociationIEEE conferences, and Proceedings of National Academies of Science Engineering and Medicine workshops. 

Pratik serves on the grant reviewer board of Center for Scientific Review at the National Institutes of Health and foundations supporting patient-centric research.  Past acknowledgments include the American Society for Microbiology’s Raymond W. Sarber National Award, a Harvard Medical School and Massachusetts General Hospitals ECOR Fund for Medical Discovery postdoctoral fellowship, coverage by leading national and international news media outlets. Pratik has been an invited discussion leader at Gordon Research Seminars; a speaker at American Association for the Advancement of Sciences, Cold Spring Harbor Laboratories, Gordon Research Conferences, The National Academies of Sciences, Engineering and Medicine, TED and IEEE bioengineering conferences; and a peer reviewer for leading scientific publications. Pratik has BS, MS, and PhD degrees in biological sciences and completed fellowship training at Massachusetts General Hospital, the Broad Institute of MIT and Harvard, and Harvard Medical School.