Huan Lei

My research interests lie in applied mathematics and scientific computing, in particular, multi-scale modeling with applications to fluid physics, materials science, and biophysics. The research goal is to establish accurate modeling of multi-scale systems relevant to meso-scale transport, non-Newtonian hydrodynamics, and kinetic transport processes arising from various science and engineering applications. For such problems, the multi-scale and high-dimensional nature imposes a fundamental challenge; empirical models based on ad-hoc closure assumptions often show limitations. My group is devoted to constructing machine-learning based models for such systems directly from the first-principle-based descriptions. In particular, we focus on developing numerical methods to learn reliable and numerically-stable models that faithfully entail the micro-scale interactions, retain physical interpretation, and respect physical constraints. The long-term goal is to achieve predictive modeling of these multi-scale systems beyond phenomenologically understanding and establish integrated control across multiple scales. 

###Education
Ph. D. 2012, Applied Mathematics, Brown University - Advisor:  George Karniadakis
B.S. 2005, Special Class for the Gifted Young, Univ. of Science & Technology of China

###Professional Appointment
Post-doctoral Associate, Brown University (2012 -2013)
Post-doctoral Associate, Pacific Northwest National Laboratory (2013 -2015)
Scientist, Pacific Northwest National Laboratory (2015 -2019)

###Research Interests
Multiscale modeling, Stochastic modeling, Scientific machine-learning, Fluid physics

###Openings
My group is recruiting Ph.D. students, Postdocs, and Visiting students; [more info](https://leihuan-mp.github.io/position/). If you are interested, please contact me by email.