Biography

Arjun Singh Yadaw, Ph.D., is the senior data scientist in the Informatics Core of NCATS’ Division of Preclinical Innovation. He leads several ongoing real-world evidence (RWE) projects in various therapeutic areas for the N3C COVID Enclave. Such areas include infectious disease, autoimmune disease and rare disease. He works closely with scientists at NCATS and across NIH to design predictive models of chemical toxicity, predict COVID-19-related outcomes and run coding camps. He mentors data scientists, summer students, and members of NCATS data science training group and the clinical informatics group. Yadaw develops educational and business-development materials for Axle Informatics. He also is an adjunct assistant professor at the Icahn School of Medicine at Mount Sinai.

Before joining NCATS in 2021, Yadaw was a senior scientist at Mount Sinai. He used electronic health record (EHR) data from Mount Sinai’s data warehouse and EPIC server to design models. He devised mathematical models for neurite outgrowth, multicompartmental models for diabetes hormone regulation, and spatiotemporal models for neuron cell signaling. He designed machine-learning (ML) models for such domains as cardiac surgery outcome, COVID-19 mortality and several other clinical informatics projects. Yadaw also mentored data scientists in how to extract EHR data and build ML models.

Yadaw’s multidisciplinary training and education spans applied mathematics, data science and systems biology. He has co-authored more than 20 peer-reviewed publications and served as reviewer of more than 30 journal articles.

Yadaw received his doctorate in applied mathematics in 2010 from the Indian Institute of Technology Kanpur. While there, he designed numerical schemes to solve singularly perturbed boundary value problems (ordinary and partial differential equations). During this time and after, Yadaw was awarded an Indo-Swiss fellowship and an Indo-European (Erasmus Mundus) fellowship and worked at the University of Fribourg in Switzerland and Lund University in Sweden.

Research Topics

Yadaw’s research focuses on RWE data–based predictive modeling, mathematical modeling, ML modeling and systems biology. His mathematical models focus on quantitative systems pharmacology modeling, multicompartmental modeling and spatiotemporal modeling. His ML models focus on COVID-19 outcomes and drug toxicity predictions.