معرفی
Jing He is a part-time faculty member in the Department of Physics & Astronomy at the University of Pittsburgh's Dietrich School of Arts and Sciences. Their research focuses on interdisciplinary studies at the interface of biophysics, bacterial physiology, and computational modeling. Dr. He's work explores gene expression dynamics in bacterial cells, mechanisms of bacterial motility, and the application of machine learning in biochemical systems analysis.
Education: PhD in Physics under the advisement of Dr. Xiao-lun Wu. Research interests include quantitative analysis of gene expression variability, bacterial swimming behavior modulation by chemotactic proteins, and development of predictive models for metabolic and motility systems. Notable findings include the discovery of amino acid starvation-induced growth arrests and the role of CheY protein in Vibrio alginolyticus reorientation dynamics.
Research trends in their publications emphasize machine learning applications in drug discovery, enzyme kinetics modeling, and SARS-CoV-2 molecular mechanisms. Techniques employed include in silico screening, molecular dynamics simulations, and advanced data analysis methodologies. Collaborations with Prof. Fu have enabled theoretical modeling of flagellar dynamics in polar bacteria.
Key contributions include novel methods for predicting catalytic constants using neural networks, optimization of pharmacokinetic modeling for antimalarial drugs, and analysis of viral spike protein mutations. Current work bridges microbiology, physics, and computational biology to address fundamental questions in cellular behavior and drug development.
