Kajal Claypool, PhD, MBI is an Associate Group Leader in the Biological, Chemical and AI Technologies Group at MIT Lincoln Laboratories. Her research focuses on developing technologies for the integration and management of big data, development of models to predict the impact of biological, chemical and environmental exposures on human health using non- and minimally invasive sensing modalities, and translational informatics to understand the associations between environment, molecular and physiological human response, and disease. She leads a multi-USG (NIH, HHS/BARDA, DTRA, Army) funded data and AI platform effort to store and curate multi-modal datasets including data physiological measurements, electronic patient reported outcomes (ePRO), de-identified clinical reports, biomarkers and multi-omics data. Through her affiliation with Harvard Medical School, she is also focused on developing data science methods to better understand the effects of therapeutics on metabolic diseases and their complications. Kajal has been engaged in research and technology development in big data management and data science for over 25 years and has authored over 100 publications. Prior to joining Lincoln Laboratory in 2007, she worked as a member of technical staff at Oracle Corporation and as an assistant professor in the Department of Computer Science at the University of Massachusetts Lowell. She holds a post-doctoral master's degree in biomedical informatics from Harvard Medical School and a doctorate in computer science from Worcester Polytechnic Institute.