Embed data science across every stage of drug discovery.
The process of drug discovery is undergoing a transformation due to breakthroughs in molecular data generation capabilities. The bottleneck has shifted away from data acquisition to processing, analyzing and visualizing large and complex datasets. Our goal is to remove the bottlenecks around data analysis to accelerate the cycle of drug discovery.
We are committed to creating platforms that enable scientists and doctors in biotech, pharma, and hospitals to make real-time decisions. We aim to be world leaders in creating softwares and algorithms which are as effective as they are intuitive to use. Our platforms will integrate end-to-end workflows, from processing raw data to visualization, and empower collaborative and reproducible research.
Abhishek is passionate about transforming the way data is used to drive decisions in R&D labs in biotech and pharmaceutical companies. Abhishek has been published extensively in peer-reviewed journals. Prior to co-founding Elucidata, he was an early team member at Agios Pharmaceuticals and received training at MIT, The University of Chicago and IIT Bombay.
Swetabh leads technology and operations at Elucidata. He wants to build a new kind of company which leverages technology to drive drug discovery. Prior to co-founding Elucidata, he has been a founding member at start-ups in technology and affordable STEM education. He completed his undergraduate and masters degrees in Mathematics and Computer Science from IIT Delhi.
Dick is presently an Associate Professor in the Departments of Internal Medicine, Division of Endocrinology, as well as Cellular & Molecular Physiology at the Yale School of Medicine. As an undergrad, he studied Biochemistry and Music at Trinity University in San Antonio. From there, he moved to UT Southwestern in Dallas where he obtained a M.D. and a Ph.D. in Molecular Biophysics. His laboratory has a long-standing interest in the combined use of NMR and MS to understand the flow of metabolites through biological systems especially as they pertain to diabetes, cancer, and immunometabolism.