Education: Ph.D., Texas Tech University; Postdoc, McGill University
Rohit is a Senior Research Data Scientist at Darden. His research interest lies at the intersection of big data, high performance computing (HPC) and business research. He works on developing and publishing “novel” research databases and techniques that would help business school researchers in boosting their research productivity.
Prior to joining UVA Darden, he managed and directed the Research Computing Office of Ross School of Business at Michigan. In addition, he taught a course in financial research data management and computing to the PhD students.
He has also served as a Research Statistician at Carroll School of Management at Boston College, where he consulted faculty in engineering novel research data and conducting efficient computations.
Rohit holds a PhD in Applied Economics and Business Statistics from Texas Tech University. He has also worked as a Postdoctoral Fellow at McGill University in Montreal.
Jeffrey Pontiff and Rohit Singla (2019), Liquidity Risk?, Critical Finance Review: Vol. 8: No. 1-2, pp 257-276.
Anwar Naseem, and Rohit Singla. Ex-Ante Economic Impact Analysis of Novel Traits in Canola. Journal of Agricultural and Resource Economics 38, no. 2 (2013): 248-68.
Rohit Singla, Phil Johnson and Sukant Mishra (2012). Examination of Profit Maximizing refuge requirements for Genetically Modified cotton in India. The Journal of Agrobiotechnology Management & Economics (AgBioForum). 15. 303-314.
Christine Cuny, Jungbae Kim, Mihir N. Mehta (2020) Politically Connected Governments. Journal of Accounting Research. https://doi.org/10.1111/1475-679X.12325
Urooj Khan, Alvis K. Lo (2019). Bank Lending Standards and Borrower Accounting Conservatism. Management Science 65(11):5337-5359. https://doi.org/10.1287/mnsc.2018.3094
Vishal Baloria, Jonas Hesse (2018). The effects of media slant on firm behavior. Journal of Financial Economics 129: 184-202. https://doi.org/10.1016/j.jfineco.2018.04.004