Minshuo Chen

Minshuo Chen 陈旻硕 Industrial Engineering and Management Sciences Northwestern University Email: minshuo.chen (AT) northwestern (DOT) edu

News

• Mengdi and I gave a tutorial on diffusion models at INFORMS 2024, Seattle
  Slides are available here tutorial_diffusion.
  

• Invited speaker at MMLS’24 May 20 - 21 (Free registration)
  

• I will speak at ISYE Statistics Seminar, Georgia Tech
  Title: Diffusion Models for Distribution Estimation and Optimization
  

• I will present Diffusion Models at INFORMS 2023 session
  MA35. The Interplay between Learning, Optimization, and Statistics
  Oct. 16th, 8:00 - 9:15 AM
  

• Invited speaker at Cornell ORIE Young Researchers Workshop 2023
  

• I will serve as an area chair at NeurIPS 2023
  

About Me

I am an assistant professor with the IEMS department at Northwestern University. Prior to joining Northwestern, I am an associated research scholar with the ECE department at Princeton University, working with Prof. Mengdi Wang. I obtained my Ph.D. from Georgia Tech, under the supervision of Prof. Tuo Zhao and Prof. Wenjing Liao. I also received a Master's degree in Electrical Engineering from UCLA, and Bachelor's degree in Electrical and Information Engineering from Zhejiang University. Here is my CV.

My research focuses on developing principled methodologies and theoretical foundations of learning and decision-making. I am particularly interested in

• Generative AI: diffusion models for data modeling and beyond

• Foundations of learning: approximation, optimization and efficiency

• (Deep) reinforcement learning: diagnosis and control in complex systems

Feel free to send me an email if you have mutual interest with me.

Awards

• ARC-TRIAD Student Fellowship

• William S. Green Fellowship

• ICML, NeurIPS Travel Award