## 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 | |