Achla Marathe is a professor at Biocomplexity Institute of Virginia Tech and the Department of Agricultural and Applied Economics. She joined VT in January 2005. She received her BA (Honors) in Economics from Delhi University, India, and MS and PhD in Economics from the University at Albany. Before joining Virginia Tech, she worked at Los Alamos National Laboratory for ten years, initially as a postdoctoral fellow and then as a technical staff member. At Los Alamos, Dr. Marathe worked on and led a number of projects in economics and data mining. Noteworthy projects included Advanced Methods for Medicare Fraud, Waste, and Abuse Detection, a data mining project that developed mechanisms for scoring medical claims based on the cumulative behaviors evidenced in the beneficiary and provider claim history, which was sponsored by the Health Care Financing Administration and NY Department of Health; Marking to Market of Derivative Securities, an Internal Revenue Service-sponsored project that aimed to develop a valuation system capable of handling a broad range of financial derivative securities; and the Department of Homeland Security funded National Infrastructure Simulation and Analysis Center (NISAC) program under which agent-based analysis tools were developed for simulating restructured electricity markets. Prior to joining Los Alamos National Laboratory, Dr. Marathe consulted for the International Finance Corporation of the World Bank Group, where her work focused on emerging equity markets.
At the Network Dynamics and Simulation Science Laboratory she is working with a trans-disciplinary group of researchers who specialize in building individual based models and advanced simulation methods to study social processes on large social networks. These include contagion of behaviors and diseases, emergency planning and response to man-made and natural disasters, cascading failures in infrastructures, forecasting of societal events, and modeling of networked commodity markets such as wireless spectrum and electricity. Her work has been funded by various agencies such as NIH-NIGMS, DOE-Sunshot Initiative, NSF-NETS, NSF-ICES, NSF-HSD, IARPA-OSI and DoD-DTRA.