Research Area

Neural computation, motor control, biologically-inspired machine learning.
I use mathematics, physics and computers to study neural computation and motor control.  This research benefits greatly from experimental collaborations.  I am also interested in various aspects of applied mathematics and large-scale machine learning itself.

Current Research Topics

•  Neural control, adaptation and biomechanical aspects of coordinated locomotion
•  Mathematical aspects of synaptic transmission, neural plasticity, and learning in biological neural networks
•  Biologically-inspired or physics-based deep learning models and its optimization
•  Modeling and simulation of fluid-structure interactions at low Reynolds numbers

Positions Held

2016 - present    Assistant Professor of Mathematics, University of Arizona
Assistant Professor of Neuroscience GIDP, University of Arizona
2013 - 2016    Assistant Professor / Courant Instructor (a postdoctoral fellowship)
Courant Institute of Mathematical Sciences, New York University