I am currently a PhD student of Cynthia Dwork in Harvard’s Theory of Computation group, with a focus on differential privacy and algorithmic fairness. I was an intern on Apple’s Machine Learning Research team in 2025, working with Vitaly Feldman, Parikshit Gopalan, and Kunal Talwar.

I graduated summa cum laude from Harvard College in 2021 with an AB in Computer Science and Mathematics, a secondary in Statistics, and an SM in Computer Science. I was on the competitive programming team.

I grew up in Cary, North Carolina and attended Cary Academy. In my free time, I enjoy playing the piano.

Research

Supersimulators (preprint)
with Cynthia Dwork

Differentially Private Learning Beyond the Classical Dimensionality Regime
with Cynthia Dwork and Linjun Zhang
Theory of Cryptography Conference (TCC), 2025
Non-archival presentations:
Theory and Practice of Differential Privacy (TPDP), 2025 – Oral Presentation
Foundations of Responsible Computing (FORC), 2025 – Highlights Track

From Fairness to Infinity: Outcome-Indistinguishable (Omni)Prediction in Evolving Graphs
with Cynthia Dwork, Chris Hays, Nicole Immorlica, and Juan Perdomo
Conference on Learning Theory (COLT), 2025

From Pseudorandomness to Multi-Group Fairness and Back
with Cynthia Dwork, Daniel Lee, and Huijia Lin
Conference on Learning Theory (COLT), 2023

Privately Estimating a Gaussian: Efficient, Robust, and Optimal
with Daniel Alabi, Pravesh Kothari, Prayaag Venkat, and Fred Zhang
Symposium on Theory of Computing (STOC), 2023

K-Deep Simplex: Manifold Learning via Local Dictionaries
with Abiy Tasissa, James Murphy, and Demba Ba
Transactions on Signal Processing (TSP), 2023

Weighed ℓ1 on the Simplex: Compressive Sensing Meets Locality
with Abiy Tasissa and Demba Ba
Statistical Signal Processing Workshop (SSP), 2021

Contact

Email: firstname underscore lastname at g dot harvard dot edu

Some official websites refer to me by my full name, Pranay Bennett Tankala.