After completing my PhD in Computer Science in 2010 at NYU, I spent two years as a postdoctoral Computing Innovation Fellow at Columbia University, in the Department of Biomedical Informatics. Before that I was an undergraduate at NYU in Computer Science and Physics.
We are primarily motivated by trying to improve human health, through the development of artificial intelligence methods. Most of these problems come back to the question of why things happen or how they change, so we focus on causal inference and time series data. We look at both clinical data as well as data generated outside of hospitals and aim to support both medical providers and patients in their decision making.
Yuxiao Huang (Postdoc), Rivelle Zlatopolsky (Research coordinator), Min Zheng (PhD student), Steven Hansen (MS student), Mark Mirtchouk (Undergraduate researcher), Drew Lustig (Undergraduate researcher), Alexandra Smith (Undergraduate researcher)
Our mascot is the Honey Badger, for obvious reasons.
James S. McDonnell Foundation Scholar Award, NSF CAREER Award, NIH R01
(email is my preferred contact method )
Current OpeningsWe're hiring postdocs and seeking undergrad and grad students. Join us!
- March 2016 New paper: Multimodality Sensing for Eating Recognition (accepted to Pervasive Health)
Upcoming talk: I'll be speaking at MLconf NYC on April 15
- February 2016 New paper: Causal Structure of Brain Physiology after Brain Injury from Subarachnoid Hemorrhage. PLoS ONE (in press)
- November 2015 New paper: Causal Explanation under Indeterminism: A Sampling Approach (accepted to AAAI-16) Congrats to Chris!
- October 2015 New paper: Combining Fourier and Lagged k-Nearest Neighbor Imputation for Biomedical Time Series Data (in Journal of Biomedical Informatics)
- June 2015 I received a James S. McDonnell Foundation Complex Systems Scholar Award. Thanks JSMF!