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. Key application areas include stroke and diabetes. We are also working on devices that can automatically measure food intake, using body-worn sensors.
Min Zheng (PhD student), Shina Ebrahim Zadeh (PhD student), Steven Hansen (MS student), Mark Mirtchouk (Undergraduate researcher), Drew Lustig (Undergraduate researcher), Alexandra Smith (Undergraduate researcher). Ivan Ching (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)
Lab twitter: @HealthAI_Lab
Current OpeningsWe're hiring postdocs and seeking undergrad and grad students. Join us!
EventsTime and Causality in the Sciences (TaCitS) June 7-9, 2017
- January 2017 New paper: A Method for Automating Token Causal Explanation and Discovery (accepted to FLAIRS). Congrats Min!
- August 2016 New paper: Using Uncertain Data from Body-Worn Sensors to Gain Insight into Type 1 Diabetes (Journal of Biomedical Informatics) [paper]
- June 2016 New paper: Automated Estimation of Food Type and Amount Consumed from Body-worn Audio and Motion Sensors (UbiComp). [paper]
Congrats to Mark on his first paper as lead and receiving a Best Paper Honorable Mention!
- May 2016 R01 successfully renewed for 4 more years and $1.5 million. Thanks NIH!
- 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