Research Overview

The focus of my research group is on the areas of control, dynamical systems, optimization, and learning. In particular, we are interested in studying complex large-scale systems arising from emerging physical, biological, and medical applications. Our interests lead to an interdisciplinary research program across boundaries of science and engineering.

NMR Spectroscopy and MRI

Research Interests

Neural Engineering and Control

Ensemble Control

About Me

I am Professor of Systems Science and Mathematics in the Department of Electrical and Systems Engineering at Washington University in St. Louis. I am also a faculty member in the Computational and Systems Biology and Biochemistry, Biophysics & Structural Biology programs in the Division of Biology & Biomedical Sciences (DBBS). I am Associate Editor of the SIAM Journal on Control and Optimization (SICON) and Associate Editor of IEEE Transactions on Control Systems Technology (TCST). I am grateful to have received an NSF Career Award (2008) and an AFOSR Young Investigator Award (2010).

Before joining Washington University, I was a graduate student at Harvard Applied Mathematics in the Division of Engineering and Applied Sciences. [CV]

Jr-Shin Li

Computational Optimal Control and Optimization

Professor of Systems Science and Mathematics

Electrical and Systems Engineering

Professor, Division of Biology & Biomedical Sciences

Washington University in St. Louis

Green Hall 1120B

Phone: 314-935-7340                                  Email:

Mathematical and Applied Control

Computational Engineering & Optimization

Dynamic Learning & Data Science

Data-Driven Methods for Systems and Control

Computational Biology and Neuroscience

Quantum Control

Stochastic Control

Health Science & Healthcare

Current Research Projects


I am looking for highly-motivated students and postdocs to join my research group.

Prospective Postdocs:

Position 1: Control and Learning for Large-Scale Systems

  1. Applicants with expertise in systems, control, learning, and data engineering, and interested in interdisciplinary research are encouraged.

Position 2: Data-Driven Methods for Dynamical Systems and Control

  1. Applications, including a CV and a brief description of interests and goals, should be sent to Applications will be evaluated as soon as they are received, until the positions are filled.