MIT CSAIL Ph.D. student, advised by Frédo Durand and Bill Freeman.

I graduated with honor from Tsinghua University (Yao class) in July 2017. I worked on deep learning and computer vision, during my internship with Stephen Lin at Microsoft Research Asia. My undergrad thesis is on automatic (differentiable) photo post-processing using reinforcement learning & GANs (TOG & SIGGRAPH 2018). I completed my master thesis (The ChainQueen Differentiable Physical Simulator) with Wojciech Matusik in November 2018. My research has been partly supported by an Edwin Webster fellowship, a Snap Research fellowship, an Adobe Research fellowship, and a Facebook Research fellowship.

import taichi as ti

I lead the design and implementation of the Taichi programming language, and serve as the benevolent dictator for life (BDFL) of the project.

Email: yuanmhu at gmail dot com

Page under construction. Click here for my old home page.

Education

  • PhD in EECS, MIT
    2018-

  • MSc in EECS, MIT
    2017-2018

  • BEng in Computer Science, Yao class, Tsinghua University
    2013-2017

Interests

  • Computer graphics
  • Compilers
  • (Differentiable) Physical simulation
  • High-performance computing
  • Differentiable programming
  • Deep learning
  • Computational photography

News

Research