I am a rising final-year Ph.D. student in the Department of Industrial Engineering and Management Sciences, Northwestern University, where I am fortunate to be advised by Prof. Diego Klabjan. My major is applied statistics and statistical learning with a minor in simulation and stochastic analysis.

I am also fortunate to work with Prof. Imon Banerjee.

My research interests broadly encompass statistics, statistical machine learning and applied probability. Specifically, my work focuses on theory and computational methods for uncertainty quantification.

I am now interning with Middle Mile Product Research & Optimization (mmPROS) at Amazon. My hosts are Dr. Phil Kaminsky and Prof. Adam Elmachtoub. From June to December 2024, I worked with the Global Pricing Team at McDonald’s as a recommendation system researcher.

Before joining Northwestern, I received my B.S. degree in mathematics and applied mathematics from Fudan University, and my M.S. degree in mathematical statistics from Purdue University, where I was fortunate to be advised by Prof. Raghu Pasupathy.

Please find my latest CV here.

My Erdős number is 3: Ziwei Su - Diego Klabjan - Craig A. Tovey - Paul Erdős.

Publication

Ongoing Work

1. Statistical Inference of Controlled Markov Chains: CLT for Transition Probabilities and Applications to Offline RL
   Ziwei Su, Imon Banerjee, Diego Klabjan

Published Work

1. Differentiable Calibration of Inexact Stochastic Simulation Models via Kernel Score Minimization [pdf] [GitHub]
   Ziwei Su, Diego Klabjan
   AISTATS, 2025
2. Overlapping Batch Confidence Intervals on Statistical Functionals Constructed from Time Series: Application to Quantiles, Optimization, and Estimation [pdf]
   Ziwei Su, Raghu Pasupathy, Yingchieh Yeh, Peter W. Glynn
   ACM TOMACS, 2024
3. A Modified Multinomial Baseline Logit Model with Logit Functions Having Different Covariates [pdf]
   Hao Ding, Ziwei Su, Xiaoqian Liu
   Communications in Statistics - Simulation and Computation, 2020