I am a Ph.D. candidate advised by Prof. William T. Freeman in the Computer Science and Artificial Intelligence Laboratory (CSAIL) at Massachusetts Institute of Technology (MIT). I work in the fields of computer vision, computational photography, and computer graphics, with particular interests in relighting, view synthesis, and material modeling.
Intern, Gcam, Google Research, Summer 2019
Hosts: Yun-Ta Tsai, Jonathan T. Barron, Tianfan Xue
S.M. (CS), Massachusetts Institute of Technology (MIT), 2016–2018
Advisor: William T. Freeman
Exchange Student (ECE), University of Waterloo, Spring 2014
B.Eng. (EE), National University of Singapore (NUS), 2011–2015
Advisor: B. T. Thomas Yeo
|Apr. 2019||MoSculp is on exhibition in the MIT Museum (photos available here)|
|Jan. 2019||Awarded Snap Research Fellowship|
|Dec. 2018||We presented GenRe at NeurIPS and released our codebase for training/testing GenRe and ShapeHD|
|Sep. 2018||MoSculp got featured as the 9/19 MIT homepage and received media coverage by BBC, Forbes, ACM, MIT, and etc.|
|Oct. 2016||Our paper on Bayesian modeling of Alzheimer's disease heterogeneity is out in PNAS and received media coverage by EurekAlert!, MGH/HMS, NUS, and etc.|
|May 2016||Our work on Alzheimer's disease heterogeneity received the Magna Cum Laude Award and oral presentation at ISMRM|
* indicates equal contribution.
ReML Estimation in Linear ModelsA tutorial on Restricted Maximum Likelihood Estimation in linear regression and Linear Mixed-Effects Models.
GrabCutA MATLAB implementation excluding border matting and user editing.
Basic Photometric StereoA MATLAB implementation of the basic photometric stereo algorithm.
Bandgap of 2D Photonic CrystalReplicating a classic textbook plot with COMSOL-MATLAB scripting.