Sweta is a research scientist in the Machine Learning Research Group. Her research interests span fairness-aware machine learning, algorithms for social good, stochastic planning and computational game theory. At present, Sweta is focused on algorithmic fairness and applications in the hiring domain. She is also investigating problems on bias in NLP prediction models. Sweta joined Oracle Labs in August 2018.
Previously, Sweta received a Ph.D. in Computer Science from Vanderbilt University, where she was advised by Yevgeniy Vorobeychik. She graduated with B.Tech. in Electrical Engineering from Indian Institute of Technology, Kharagpur.
Here is a link to Sweta's external webpage: https://swetapanda.github.io/