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 am a Postdoctoral Associate at the Courant Institute of Mathematical Sciences, New York University, starting 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.

Outside of research, I enjoy reflecting on philosophical questions and watching movies.

selected publications

  1. STOC
    Combinatorial Optimization using Comparison Oracles
    Vincent Cohen-Addad, Tommaso d’Orsi, Anupam Gupta, and 7 more authors
    In ACM Symposium on Theory of Computing (STOC), 2026
  2. ICALP
    Guessing Efficiently for Constrained Subspace Approximation
    Aditya Bhaskara, Sepideh Mahabadi, Madhusudhan Pittu, and 2 more authors
    In International Colloquium on Automata, Languages, and Programming (ICALP), 2025
  3. SODA
    Approximation Algorithms for the Weighted Nash Social Welfare via Convex and Non-Convex Programs
    Adam Brown, Aditi Laddha, Madhusudhan Pittu, and 1 more author
    In ACM-SIAM Symposium on Discrete Algorithms (SODA), 2024
  4. FOCS
    The Price of Explainability for Clustering
    Anupam Gupta, Madhusudhan Pittu, Ola Svensson, and 1 more author
    In IEEE Symposium on Foundations of Computer Science (FOCS), 2023
  5. FOCS
    Determinant Maximization via Matroid Intersection Algorithms
    Adam Brown, Aditi Laddha, Madhusudhan Pittu, and 2 more authors
    In IEEE Symposium on Foundations of Computer Science (FOCS), 2022
  6. SODA
    A 3-Approximation Algorithm for Maximum Independent Set of Rectangles
    Waldo Gálvez, Arindam Khan, Mathieu Mari, and 3 more authors
    In ACM-SIAM Symposium on Discrete Algorithms (SODA), 2022