Tianyi Peng

Tianyi Peng Incoming Assistant Professor at Columbia University Decision, Risk, and Operations Division Email: tianyipeng95 [at] gmail [dot] com [CV] [GitHub] [linkedin]

About Me

I am broadly interested in AI for decision-making, with a focus on enhancing real-world systems using techniques like reinforcement learning, experimentation/simulation methods, and generative AI models. I am a founding member of Cimulate.AI, developing Customer-GPT for e-commerce.

I've collaborated with organizations like Anheuser-Busch InBev, TikTok, and Liberty Mutual. My work with Anheuser-Busch InBev on developing an innovative experimentation platform earned the Daniel H. Wagner Prize in 2022 (INFORMS news). My research has also received the APS Best Student Paper Prize and RMP Jeff McGill Student Paper Award.

I'm set to join Columbia Business School's Decision, Risk, and Operations division as an assistant professor in Summer 2024. I hold a Ph.D. from MIT and a Bachelor's in Computer Science from Tsinghua University (Yao Class).

Publications

• Massive Speedups For Policy Evaluation In Inventory Management
  

  • Submitted

• Correcting for Interference in Experiments: A Case Study at Douyin
  With Vivek F. Farias, Andrew Zheng, Hao Li, Huawei Zhang, and Xinyuyang Ren
  

  • RecSys 2023

• Markovian Interference in Experiments
  With Vivek F. Farias, Andrew A. Li, and Andrew Zheng
  Under review in Management Science
  

  • Winner, Applied Probability Socity (APS) Best Student Paper Prize 2022

  • Winner, Jeff McGill Student Paper Award 2022

  • NeurIPS 2022, Oral (~2%), [Video in Chinese]

• Generalized Synthetic Control for TestOps at ABI: Models, Algorithms, and Infrastructure
  With Luis Costa, Vivek F. Farias, Patricio Foncea, Jingyuan (Donna) Gan, Ayush Garg, Ivo Rosa Montenegro, Kumarjit Pathak, and Dusan Popovic
  INFORMS Journal on Applied Analytics
  

  • Winner, Daniel H. Wagner Prize 2022

  • [pdf]

• Learning Treatment Effects in Panels with General Intervention Patterns
  With Vivek F. Farias and Andrew A. Li
  

  • Finalist, MSOM Best Student Paper Prize 2022

  • NeurIPS 2021, Oral (~0.6%)

• Fixing Inventory Inaccuracies At Scale
  With Vivek F. Farias and Andrew A. Li
  Minor revision in Manufacturing & Service Operations Management
  

  • MSOM Supply Chain Management SIG 2022

  • ICML 2021
    

• Synthetically Controlled Bandits
  With Vivek F. Farias, Ciamac Moallemi, and Andrew Zheng
  Major revision in Management Science
  

  • MSOM Service SIG 2022

• Uncertainty Quantification For Low-Rank Matrix Completion With Heterogeneous and Sub-Exponential Noise
  With Vivek F. Farias and Andrew A. Li
  

  • AISTATS 2022
    

• The Limits to Learning a Diffusion Model
  With Jackie Baek, Vivek F. Farias, Andreea Georgescu, Retsef Levi, Deeksha Sinha, Joshua Wilde, and Andrew Zheng
  Minor revision in Management Science

  • Finalist, Post-Pandemic Supply Chain and Healthcare Management Best Paper

  • EC 2021
    

Publications in Quantum (A previous life..)

• Quantum Queuing Delay
  Wenhan Dai, Tianyi Peng, Moe Win
  IEEE Journal on Selected Areas in Communications (IEEE-JSAC), vol. 38, no. 3, pp. 605-618, 2020
  [link], [pdf]

  • Preliminary version: Queuing Delay for Quantum Networks
    International Conference on Computing, Networking and Communications (ICNC 2020)

• Optimal Remote Entanglement Distribution
  Wenhan Dai, Tianyi Peng, Moe Win
  IEEE Journal on Selected Areas in Communications (IEEE-JSAC), vol. 38, no. 3, pp. 540-556, 2020
  [link], [pdf]

  • Preliminary version: Optimal Protocols for Entanglement Swapping and Distribution
    Best Paper Award, International Conference on Computing, Networking and Communications (ICNC 2020)
    

• Simulating Large Quantum Circuits on a Small Quantum Computer
  Tianyi Peng, Maris Ozols, Aram Harrow, Xiaodi Wu
  Physical Review Letters 125, 150504 (2020) (PRL)
  [link] [arxiv]

• Efficient and Robust Physical Layer Key Generation
  Tianyi Peng, Wenhan Dai, Moe Win
  Military Communications Conference 2019 (MILCOM 2019)
  [link]

• Remote State Preparation for Multiple Parties
  Wenhan Dai, Tianyi Peng, Moe Win
  IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2019), Invited Paper
  [pdf], [link]

• Quantum Uncertainty Relation of Coherence
  Xiao Yuan, Ge Bai, Tianyi Peng, Xiongfeng Ma
  Physical Review A 96 (3), 032313 (2017)
  [link] [arxiv]

• Tight Detection Efficiency Bounds of Bell Tests In No-signaling Theories
  Zhu Cao, Tianyi Peng (co-first author)
  Physical Review A 94, 042126 (2016)
  [link] [arxiv]