Personal Biography of Dr. Sastry Isukapalli, Ph.D.
Dr. Sastry Isukapalli is an Assistant Professor in the Exposure Science Division at the Environmental and Occupational Health Sciences Institute (EOHSI). He has a M.S. and a Ph.D. in Chemical and Biochemical Engineering from Rutgers University, and a B.Tech. in Chemical Engineering from the Indian Institute of Technology, Madras. He is an expert in Exposure Modeling, Sensitivity and Uncertainty Analysis, and Physiologically Based Pharmacokinetic Modeling. Dr. Isukapalli has over twelve years experience in the modeling and computational implementation of environmental and biological systems, and has worked extensively on the population exposure and risk modeling for multimedia environmental pollutants as well as chemical and biological warfare agents. He has developed novel uncertainty analysis techniques, which have been
applied in numerous disciplines.
Dr. Isukapalli plays a leading role in the development of the Modeling ENvironment for TOtal Risk studies (MENTOR) for mechanistically consistent source-to-dose modeling, under development at the Computational Chemodynamics Laboratory (CCL) at EOHSI, as part of the USEPA funded Center for Exposure and Risk Modeling (CERM).
Dr. Isukapalli is also a key member at the USEPA funded environmental bioinformatics and Computational Toxicology Center (ebCTC), where he is actively working on computational tools for source-to-dose-to-effect modeling. He also has a strong software industry background in the development of complex software systems, and has been a Quality Assurance officer for portions of modeling research conducted at the USEPA funded centers, CERM and ebCTC.
He has extended the USEPA SHEDS modeling system by adding the Physiologically Based Pharmacokinetic (PBPK) components for estimating target tissue doses, as well as to consistently simulate simultaneous exposures to multiple, co-occurring pollutants. He has also linked the USEPA’s multimedia modeling system, FRAMES-3MRA, with MENTOR for estimating site-specific multimedia exposures. He currently guides doctoral research on the development of a multi-chemical PBPK modeling system, sensitivity analysis techniques for PBPK modeling for aging populations, and inverse modeling for exposure reconstruction using PBPK models, focusing on organophosphate
pesticides and pyrethroid pesticides.