Pranav Nuti

I am a Principal Researcher (a postdoctoral-level position) at The University of Chicago Booth School of Business, mentored by Rad Niazadeh. I was previously a mathematics PhD student at Stanford University, advised by Jan Vondrak.

pranav.nuti [at] chicagobooth [dot] edu  |  CV (PDF)

Last updated: March 2026.

Portrait of Pranav Nuti

About

I work on online decision-making under uncertainty, with a focus on applications to classic problems in operations research. I am especially interested in online matching problems, with current work motivated by housing applications. I am also working on using AI to solve open problems in operations research. Alongside research, I have a strong interest in teaching and mentoring students.

What's New

Papers

Journal Papers

  1. Prophet Inequalities with Cancellation Costs. With Farbod Ekbatani, Rad Niazadeh, and Jan Vondrak. Operations Research, minor revision. Conference version: STOC 2024.
  2. Online Matching and Contention Resolution for Edge Arrivals with Vanishing Probabilities. With Will Ma and Calum MacRury. Operations Research, minor revision. Conference version: EC 2024.
  3. Toward an Optimal Contention Resolution Scheme for Matchings. With Jan Vondrak. Mathematical Programming, 2025. Conference version: IPCO 2023.
  4. Engaging Activities for Teaching Linear Algebra. With Shintaro Fushida-Hardy and Megan Selbach-Allen. PRIMUS, 2024.

Conference Papers

  1. Static Pricing for Single Sample Multi-unit Prophet Inequalities. With Peter Westbrook. SOSA 2026.
  2. Secretary Problems: The Power of a Single Sample. With Jan Vondrak. SODA 2023.
  3. A Tight Competitive Ratio for Online Submodular Welfare Maximization. With Amit Ganz and Roy Schwartz. ESA 2023.
  4. The Secretary Problem with Distributions. IPCO 2022.

Working Papers

  1. Optimal Prophet Inequalities with Buyback. With Farbod Ekbatani, Rad Niazadeh, and Jan Vondrak. Submitted.
  2. Stationary Online Contention Resolution Schemes. With Mohammad Reza Aminian and Rad Niazadeh. Submitted.
  3. Optimal Bayesian Online Allocation of Reusable Resources. With Mohammad Reza Aminian and Rad Niazadeh. Submitted.

Awards

Teaching and Mentoring

Teaching

  1. Linear Algebra, Stanford Summer Engineering Academy. Instructor, 2021-2022. Course materials.
  2. Stanford Jail and Prison Education Project (SJPEP). Instructor, 2023.

Mentoring

  1. Stanford Undergraduate Research in Mathematics (SURIM). 2023. Mentees: Ethan Zhang, Ezra Steinberg, Peter Westbrook, Quinn McIntyre. Student report.
  2. Directed Reading Program, Stanford Mathematics. 2020-2022, 2024. Mentees: Alessandra Maranca, Sophia Sanchez, Ellen Xu, Donald Poindexter, Logan Bhamidipaty, Sohan Vichare.
  3. Stanford Summer Engineering Academy. 2023. Mentees: Talia Blum, Zhihan Li.
  4. TA Mentoring Program, Stanford Mathematics. 2022-2023. Mentees: Yosheb Getachew, Joao Campos Vargas, Zhenyuan Zhang, Hongjian Yang.
  5. Alex Huang. Research mentee, 2025.