Jinlong Wu

Assistant Professor, Department of Mechanical Engineering, University of Wisconsin-Madison

Madison, Wisconsin, United States

About

My previous research mainly focused on data-driven turbulence modeling by using Bayesian inference and machine learning techniques. The current research of my group mainly focuses on developing efficient and reliable data-driven modeling and simulation techniques for complex dynamical systems (e.g., multi-scale, multi-physics, chaotic) in engineering applications.

Experience

  • Assistant Professor at University of Wisconsin-Madison
    Aug 2022 - Present · 3 yrs 11 mos

  • Postdoctoral Scholar at Caltech
    Jan 2019 - Aug 2022 · 3 yrs 8 mos

  • Postdoctoral Scholar at Climate Modeling Alliance (CliMA)
    Jan 2019 - Aug 2022 · 3 yrs 8 mos

  • Visiting Scholar at Institute for Pure and Applied Mathematics
    Sep 2018 - Dec 2018 · 4 mos

  • Summer Intern at Berkeley Lab
    May 2018 - Aug 2018 · 4 mos