research
Optimization Theory
Game Theory & Mechanism Design
Privacy & Other Ethical Considerations
Optimization Theory
Game Theory & Mechanism Design
Privacy & Other Ethical Considerations
phd papers
Note: All papers (where I am first author) are marked with (+). If any paper has other co-first authors, said authors are marked with (*).
[7] Data Sharing with Endogenous Choices over Differential Privacy Levels (+)
With Raef Bassily, Kate Donahue, Annuo Zhao & Juba Ziani (2026).
Journal version under preparation. (preprint)
Non-archival/lightly reviewed - Accepted as Contributed talk @ Workshop on Theory & Practice of Differential Privacy (TPDP 2026).
[6] Fixed Points and Stochastic Meritocracies: A Long-Term Perspective (+)
With Gaurab Pokharel*, Sanmay Das & Juba Ziani (2025).
Conference - ACM Conference on Fairness, Accountability & Transparency (FAccT 2026). (preprint)
[5] When Should a Principal Delegate to an Agent in Selection Processes? (+)
With Benjamin Fish & Juba Ziani (2025).
Conference - Revise & Resubmit at FAccT 2026. (preprint)
Non-archival/lightly reviewed - Accepted as Poster @ Workshop of Human-AI Collaboration at EC 2025. (poster)
[4] Incentivizing Desirable Effort Profiles in Strategic Classification: The Role of Causality & Uncertainty (+)
With Valia Efthymiou, Chara Podimata & Juba Ziani (2025).
Journal version under preparation.
Conference - Annual Conference on Neural Information Processing Systems (NeurIPS 2025). (preprint)
Non-archival/lightly reviewed - Contributed Talk @ INFORMS Optimization Society Conference 2026, Poster @ EC 2025, Poster @ Workshop of Human-AI Collaboration at EC 2025. (poster)
Media - Invited blog at the Learning Theory Alliance (blog post).
[3] Differentially Private Graph Data Release: Inefficiencies & Unfairness (+)
With Ferdinando Fioretto & Juba Ziani (2024).
Conference - Annual Conference on Artificial Intelligence & Statistics (AISTATS 2025). (paper)(poster)
[2] On Rider Strategic Behavior in Ride-Sharing Platforms (+)
With Jay Mulay & Juba Ziani (2024).
Non-archival/lightly reviewed - Poster @ INFORMS Transportation Science & Logistics Conference (TSL 2026). (preprint)
[1] Equilibria of Data Marketplaces with Privacy-Aware Sellers under Endogenous Privacy Costs (+)
With Jingyan Wang & Juba Ziani (2024).
Conference - IEEE Conference on Secure & Trustworthy Machine Learning (SaTML 2025). (paper)
Non-archival/lightly reviewed - Extended abstract and Poster @ Algorithmic Decision Theory (ADT 2024). (poster)
For a complete list of my publications, please check out my Google Scholar page.
acknowledgements
I am deeply grateful to the following people who have positively influenced my life/short academic career:
(In no particular order) Juba Ziani, Parinaz Naghizadeh, Arnob Ghosh, Varun Ramamohan.
Everyone I have worked with in alphabetical order (last name basis):
Srikanth Avasarala, Raef Bassily, Abhishek Bhatnagar, Nomesh Bolia, Sarah Cen, Augustin Chaintreau, Sanmay Das, Soham Das, Kate Donahue, Valia Efthymiou, Ferdinando Fioretto, Benjamin Fish, Arnob Ghosh, Kushagra Goyal, Swati Gupta, Christine Ling, Jay Mulay, Parinaz Naghizadeh, Chara Podimata, Gaurab Pokharel, Varun Ramamohan, Prasanna Ramamoorthy, Jingyan Wang, Jibang Wu, Haifeng Xu, Annuo Zhao, Juba Ziani.