Media, Talks, Announcements


This summer/fall I was a keynote speaker at KDD 2019, the IEEE DSAA meeting, the INFORMS Decision Analysis meeting, and a plenary speaker at CODE 2019. I gave a Langford lecturer at Duke this fall, and will be the Terng Lecturer at the Institute for Advanced Study in May 2020.


This beautiful poster was done by Sita Magnuson from Dpict during my plenary talk at CODE.

Aaron Struck, Brandon Westover, Berk Ustun and I won the INFORMS Innovative Applications in Analytics Award in 2019 for our work on interpretable models for ICU seizure prediction. Thank you to our amazing coach Leo Guadalupe. (Duke News) (Analytics News Announcement) (INFORMS ORMS Resoundingly Human Podcast)

Chaofan Chen, Kangcheng Lin, Yaron Shaposhnik, Sijia Wang, Tong Wang and I won the FICO Recognition Prize for the FICO Explainable Machine Learning Challenge. We did not follow the instructions - rather than explaining a black box we provided a globally interpretable model. (FICO's announcement of the winners)

Congratulations to the Duke Data Science Team! After our first semester, we are winners of the CVPR-NTIRE 2018 Single Image Super-Resolution Competition (Track 1) , and winners of the PoetiX Creative Turing Test 2018! It's been a pleasure coaching you guys!

Talks and Interviews

  • Data Science at Home Podcast by Francesco Gadaleta, called “How can deep neural networks reason” about our work on interpretable networks for computer vision

  • PAPIs random interview, 2016


This list contains only articles that are still live on the Internet. Past aired TV, Radio, or Magazine articles that are not archived are not included. A complete list is in here.

Computer Vision and Interpretability

Crime Data Mining


Meeting Analysis

Some of the media coverage of our meetings analysis paper was pretty funny.

Product Rankings

Power Grid Reliability



from The Docket on MSNBC