Madhusudhan Reddy Pittu

Postdoctoral Associate, Courant Institute of Mathematical Sciences, New York University

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madhusudhan.p@nyu.edu

New York, NY

I have been a Postdoctoral Associate at the Courant Institute of Mathematical Sciences, New York University, since September 2025, where I work with Anupam Gupta.

I received my Ph.D. in Computer Science from Carnegie Mellon University in the Algorithms, Combinatorics, and Optimization (ACO) program, advised by Anupam Gupta and, during my final year, David P. Woodruff. Prior to that, I earned my B.Tech. in Computer Science from the Indian Institute of Technology (IIT) Kharagpur.

My research interests lie broadly in Theoretical Computer Science, with a focus on Approximation Algorithms, Online Algorithms, Combinatorics, and Optimization. I am particularly interested in problems with a geometric flavor.

Selected distinctions

  • Bronze Medal representing India at the 57th International Mathematical Olympiad, 2016
  • Infosys Award for excellent performance in International Olympiads, 2016
  • IITKGP Foundation-USA International Internship Award, 2020
  • Best Solution Award at the IMO training camp, 2015
  • Erdős number: 2

selected publications

  1. Combinatorial Optimization using Comparison Oracles
    Vincent Cohen-Addad, Tommaso d’Orsi, Anupam Gupta, and 7 more authors
    In Proceedings of the 58th Annual ACM Symposium on Theory of Computing, 2026
    STOC 2026, pp. 1995-2006.
  2. Guessing Efficiently for Constrained Subspace Approximation
    Aditya Bhaskara, Sepideh Mahabadi, Madhusudhan Reddy Pittu, and 2 more authors
    In 52nd International Colloquium on Automata, Languages, and Programming (ICALP 2025), 2025
    LIPIcs 334, Article 29, pp. 29:1-29:20.
  3. Approximation Algorithms for the Weighted Nash Social Welfare via Convex and Non-Convex Programs
    Adam Brown, Aditi Laddha, Madhusudhan Reddy Pittu, and 1 more author
    In Proceedings of the 2024 Annual ACM-SIAM Symposium on Discrete Algorithms (SODA), 2024
    SODA 2024, pp. 1307-1327. The full journal version appears separately above.
  4. The Price of Explainability for Clustering
    Anupam Gupta, Madhusudhan Reddy Pittu, Ola Svensson, and 1 more author
    In 2023 IEEE 64th Annual Symposium on Foundations of Computer Science (FOCS), 2023
    FOCS 2023, pp. 1131-1148.
  5. Determinant Maximization via Matroid Intersection Algorithms
    Adam Brown, Aditi Laddha, Madhusudhan Pittu, and 2 more authors
    In 2022 IEEE 63rd Annual Symposium on Foundations of Computer Science (FOCS), 2022
    FOCS 2022, pp. 255-266.
  6. A 3-Approximation Algorithm for Maximum Independent Set of Rectangles
    Waldo Gálvez, Arindam Khan, Mathieu Mari, and 3 more authors
    In Proceedings of the 2022 Annual ACM-SIAM Symposium on Discrete Algorithms (SODA), 2022
    SODA 2022, pp. 894-905. The arXiv link is pinned to version 2, which matches this title.