Research
My research is centered on the societal implications of decision-making, particularly automated decision-making. Decision-making processes such as those in the hiring pipeline, loan-granting, targeted advertising, dynamic pricing, and more, directly affect people's lives. As such, attention must be paid in order to avoid outcomes which are discriminatory or which reinforce societal inequalities. Since these decisions are often automated, I'm interested in algorithmic techniques for mitigating bias and producing fairer outcomes.
Papers
- Using Algorithms to Tame Discrimination: A Path to Algorithmic Diversity, Equity, and Inclusion
- Conditionally accepted to the UC Davis Law Review 2023
- Joint with Swati Gupta and Deven Desai
- Don't let Ricci v. DeStefano Hold You Back: A Bias-Aware Legal Solution to the Hiring Paradox
- ACM Conference on Fairness, Accountability, and Transparency (FAccT 2022)
- Joint with Swati Gupta and Deven Desai
- Algorithmic Challenges in Ensuring Fairness at the Time of Decision
- In submission to Operations Research
- Extended abstract to appear in the Proceedings of the 18th Conference on Web and Internet Economics (WINE 2022)
- Joint with Swati Gupta and Vijay Kamble
- Secretary Problems with Biased Evaluations using Partial Ordinal Information
- Received a Minor Revision from Management Science in August 2022
- Extended abstract appeared in the Proceedings of the 16th Conference on Web and Internet Economics (WINE 2020)
- Joint with Swati Gupta
Other Writing
- Algorithmic Challenges in Ensuring Fairness at the Time of Decision
- Forthcoming in OPTIMA (Mathematical Optimization Society Newsletter)
- Co-written with Vijay Kamble
- Temporal Notions of Algorithmic Fairness
- Invited book chapter in Springer's Studies in Computational Intelligence
- In preparation, co-written with Swati Gupta and Vijay Kamble