Expertise

My general interests in research lies in applied math and scientific computing. Currently, I am working on (1) intrinsic complexity of models and data sets;  (2) imaging with  transport/diffusion models rising from biomedical imaging;  (3) scientific computing of radiative transfer ; (4) PDE learning and neural networks.  Here is a selection of past projects I have worked on in the past years.

Current Research

  • PDE learning and neural networks
  • Intrinsic complexity of models and data sets
  • Imaging with transport/diffusion models
  • Computations of radiative transport equation
  • Implicit boundary integration

My research interests mainly focus on applied mathematics and scientific computing. In particular, I am currently interested in data-driven modeling, the intrinsic complexity of datasets, inverse problems,  fast algorithms, multiphysics modeling, etc.

Research Areas: Applied Mathematics

Past Affiliations

Phillip Griffiths Assistant Research Professor, Department of Mathematics, Natural Sciences, Trinity College of Arts and Sciences, Duke University (past)
2020

Postdoctoral Scholar, Department of Mathematics, School of Physical Sciences, University of California Irvine (past)

Degrees
PhD, University of Texas at Austin, Mathematics, 2017
BS, University of Science and Technology of China, Mathematics, 2011