Research Overview

• Application of machine learning algorithms for biological data and biological systems

• Physics-informed neural networks (PINNs) on predicting high-dimensional data in real world

• Materials design using molecular modeling and machine learning models, e.g., polyelectrolytes, proteins, RNAs, and shape-memory polymers

Work Experience

2023.12 - present     Postdoctoral Associate, Department of Physics and Biology, Michigan Technological University

2023.3 - 2023.11     Postdoctoral Researcher, Cain Department of Chemical Engineering, Louisiana State University

Education

2017.9 - 2022.12   PhD, Applied Physics, Michigan Technological University

2013.9 - 2017.6      BS, Materials Physics, East China University of Science and Technology

Editorial Responsibility

Guest Editor for the Special Issue "Application of Machine Learning Algorithms for Biological Data and Biological Systems", the deadline of submission is October 31st, 2024. Please submit your manuscript!