Principle Investigator

Can Li

Assistant professor

Education

  • B.Eng., Tsinghua University, 2016
  • Ph.D., Carnegie Mellon University, with Ignacio E. Grossmann, 2021
  • Postdoctoral Fellow, Polytechnique MontrĂ©al, with Andrea Lodi, 2022

Research Expertise

Optimization; Machine Learning; Process Systems Engineering

Research Affiliation

CISTAR; ICON; COOPS

Honors and Awards

  • NSF CAREER Award, 2025
  • Ralph W. and Grace M. Showalter Research Trust Grant, 2024
  • ACS PRF Doctoral New Investigator Award, 2024
  • Amazon Research Award, 2023
  • Winner of Air Liquide Scientific Challenge, 2023
  • CAST Division Student Presentation Award, 3rd place, 2021