Biography
Dr. Vishesh Karwa is an Assistant Professor of Statistical Science.
He joins the Fox School from The Ohio State University, where he served in the Department of Statistics. He previously served two years as a post-doctoral fellow at Harvard University’s Center for Research and Computation for Society and one year at Carnegie Mellon University.
His research interests include data privacy; causal inference under network interference; social network models; algebraic statistics and computational methods for intractable likelihoods, among others.
Karwa earned his PhD in Statistics from The Pennsylvania State University, where he also attained a Master of Science in Transportation Engineering. He received a Bachelor of Technology in Civil and Environmental Engineering from the Indian Institute of Technology.
Research Interests
- Statistical foundations of data privacy including differential privacy
- Causal inference under network interference
- Experimentation on social media platforms
- Exponential random graph models for networks and network privacy
- Computational methods for intractable likelihoods and massive datasets
- Application of algebraic statistics to log-linear and network models
- Application of NLP to semantic search and recommendation systems
Courses Taught
Number | Name | Level |
|---|---|---|
STAT 2501 | Quantitative Foundations for Data Science | Undergraduate |
STAT 5603 | Statistical Learning and Data Mining | Graduate |
STAT 5604 | Experiments: Knowledge by Design | Graduate |
Selected Publications
Recent
Karwa, V., Gross, E., & Petrovic, S. (2022). Algebraic statistics, tables, and networks: The Fienberg advantage. In Statistics in the Public Interest In Memory of Stephen E. Fienberg. Springer Nature.
Karwa, V., Petrović, S., & Bajić, D. (2022). DERGMs: Degeneracy-restricted exponential family random graph models. Network Science, 10(1), 82-110. Cambridge University Press (CUP). doi: 10.1017/nws.2022.5.