Daniel Suo

Greetings! I'm a software engineer at Google AI interested in systems and machine learning. I've worked on projects in computer vision, real-time computing, and, most recently, control algorithms.

I am finishing my Ph.D. in Computer Science at Princeton, under the supervision of Prof. Kai Li. Before that, I completed an A.B. in Computer Science at Harvard.

Ongoing work

deluca – differentiable environments and control algorithms
(code) with Paula Gradu, John Hallman, Alex Yu, Naman Agarwal, Udaya Ghai, Karan Singh, Cyril Zhang, Anirudha Majumdar, and Elad Hazan
timecast – performant, composable online learning for timeseries prediction
(code) with Cyril Zhang, Alex Yu, Naman Agarwal, Paula Gradu, John Hallman, and Elad Hazan
Co-designing phase-based caching and prefetching policies
(code) with Steve Tarsa, Chit-Kwan Lin, Gautham Chinya, and Kai Li

Publications

Distributed deadline computing for real-time brain imaging analysis
Organization for Human Brain Mapping 2018.
with Grant Wallace, Mihai Capotă, Benjamin J. Hutchinson, Megan deBettencourt, Anne Mennen, Yida Wang, Ted Willke, Nicholas B. Turk-Browne, Kenneth A. Norman, Jonathan D. Cohen, and Kai Li.
Enabling large-scale fmri analysis with brainiak
Organization for Human Brain Mapping 2018.
with Mihai Capotă, Ted Willke, Kenneth A. Norman, Nicholas B. Turk-Browne, Kai Li, and Jonathan D. Cohen
Real-time fMRI analysis in cloud computing environments
Society for Neuroscience 2017
with Benjamin J. Hutchinson, Megan deBettencourt, Anne Mennen, Yida Wang, Ted Willke, Nicholas B. Turk-Browne, Kenneth A. Norman, Johnathan D. Cohen, and Kai Li.
Multi-view self-supervised deep learning for 6d pose estimation in the amazon picking challenge
ICRA 2017
with Andy Zeng, Kuan-Ting Yu, Shuran Song, Ed Walker, Alberto Rodruigez, Jianxiong Xiao
Continual learning in generative adversarial nets
Preprint.
with Ari Seff, Alex Beatson, and Han Liu
Deadlines for streaming machine learning algorithms
Preprint.
with Kai Li
The cast for cooperative resource sharing for parallel applications on manycore processors
Preprint.
with Michael Suo and Kai Li
Mobot – an autonomous indoor mapper
(code, photos) with Andy Zeng, Shuran Song, and Jianxiong Xiao