Dr. Sankar Bokka
Dr. Sankar Bokka is a principal scientist for CoreLogic Inc. As a principal scientist, Dr. Sankar Bokka has been actively involved in the growth of CoreLogic FNC since joining the company in 2006. With a background in theoretical mathematics and building technology businesses, Sankar works to define and bring to market innovative solutions for CoreLogic’s clients and the mortgage technology industry at large and supports 165M CoreLogic Valuation Service Division.
Dr. Sankar leads research delivering innovative and cutting-edge AI and Machine Learning to Real Estate Valuation Solutions and developing tomorrow’s touchless Appraisal review process.
Dr. Sankar has a Ph.D. in Mathematics and an MS in Chemical Engineering from The University of Mississippi with over 17 years of experience in the mortgage industry. He has authored many papers and patents relating to property valuation and appraisal workflow processes.
Dr. Ensheng Dong
Ensheng (Frank) Dong is a Ph.D. candidate and Louis M. Brown Engineering Fellow of the Department of Civil and Systems Engineering (CaSE) and the Center for Systems Science and Engineering (CSSE) at Johns Hopkins University. He is also a member of the Infectious Disease Dynamics (IDD) group at the JHU Bloomberg School of Public Health. He is interested in interdisciplinary research on network science, mobility modeling, spatial analysis, geo-visualization, and infectious diseases. His recent work includes forecasting the risk of measles in the US and the Pacific Island Countries and Territories (PICTs), predicting dengue outbreaks in Sri Lanka, building, and maintaining the JHU CSSE coronavirus dashboard, and modeling the global coronavirus pandemic.
Dr. Joon Ro
Joon Ro is currently a Senior Applied Scientist at Uber Freight, working on improving pricing algorithms and experimentation infrastructure. Before joining Uber Freight, Ro was an assistant professor of Marketing at Freeman School of Business, Tulane University. He earned a Ph.D. in quantitative marketing from McCombs School of Business, University of Texas at Austin, specializing in empirical industrial organization and Bayesian economics.
Dr. Danqing Wang
Danqing Wang is a data science manager at Meta (formerly known as Facebook). She obtained a Ph.D. in Applied Physics from Harvard University in 2019, and a B.A. in Physics and Mathematics from Cornell University in 2011.