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 should be paid in order to avoid outcomes which are unfair. Since these decisions are often automated, I am interested in algorithmic techniques for mitigating bias and producing fairer outcomes.
Papers
- Poset Selection in the Adversarial Setting
- In preparation
- Joint with Robert Laudone and Tyler Perini
- Expected Maximin Fairness in Max-Cut and other Combinatorial Optimization Problems
- In preparation
- Joint with Reuben Tate and Stephan Eidenbenz
- Using Algorithms to Tame Discrimination: A Path to Algorithmic Diversity, Equity, and Inclusion
- 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
- Minor Revision with Operations Research
- Extended abstract in WINE 2022
- Joint with Swati Gupta and Vijay Kamble
- Secretary Problems with Biased Evaluations using Partial Ordinal Information
- Management Science, 2023
- Joint with Swati Gupta
Other writing
- Algorithmic Challenges in Ensuring Temporal Fairness in Online Decision-Making
- OPTIMA (newsletter of the Mathematical Optimization Society)
- Joint with Swati Gupta and Vijay Kamble
- Temporal Fairness in Online Decision-Making
- Invited book chapter in Springer’s Ethics in Artificial Intelligence: Bias, Fairness and Beyond
- Part of the series Studies in Computational Intelligence
- Joint with Swati Gupta and Vijay Kamble