CV

Shengli Jiang, PhD

Assistant Professor · sjiang87@shenglijiang.com · Columbia, SC

Develops physics-informed machine learning and AI methods, integrated with molecular simulation, to design soft materials and chemical products for energy and sustainability.

Experience

Assistant Professor

University of South Carolina

Principal Investigator, Computational Materials and Product Design (CMPD) Laboratory. Tenure-track faculty developing physics-informed machine learning and AI methods for soft materials design.

  • Physics-informed machine learning for polymer and materials design
  • Molecular simulation and multiscale modeling

Postdoctoral Associate

Princeton University

Advisor: Professor Michael A. Webb. Integrate molecular simulation and machine learning to design polymers with tailored properties.

  • Physics-informed machine learning for polymer design
  • Structure-property relationship modeling in soft materials

Lecturer

Princeton University

Course: Machine Learning in Chemical Science and Engineering

Research Intern

Dow Chemical

Electricity price forecasting; large language models for quality note analysis

Givens Associate

Argonne National Laboratory

Graph neural architecture search for molecular property prediction

Undergraduate Researcher

University of California, San Diego

Design of organic cathodes for lithium-ion batteries

Education

PhD , Chemical Engineering

University of Wisconsin-Madison
  • Advisor: Professor Victor M. Zavala
  • Focused on machine learning for sensor design, solvent systems, electrochemistry, and sustainability.

B.S. , Chemical Engineering

University of California, San Diego
  • Worked with Professor Zheng Chen on lithium-ion battery cathode design.

Professional Services

Reviewer

Peer Review

Reviewed for journals including Chemical Reviews, Chemical Science, npj Computational Materials, Environmental Science & Technology, Digital Discovery, Molecular Systems Design & Engineering, Computers & Chemical Engineering, and others. Also for conferences: American Control Conference, IEEE Conference on Decision and Control.

Member

Committee Service

Department DECI Committee Member

Member

Committee Service

Department DEI Committee Member

Awards

2020

Givens Associate Fellowship

Argonne National Laboratory

Fellowship for research in mathematics and computer science

2020

Poster Award

Computing in Engineering Forum, University of Wisconsin-Madison

Recognized for outstanding poster presentation

2019

Travel Award

Machine Learning in Science and Engineering (MLSE), Georgia Institute of Technology

Support for conference attendance

2014-2018

Provost Honors

University of California, San Diego

Academic honors throughout undergraduate studies