Media, Talks, Announcements

Recent Awards

I'm proud to be the 2022 winner of the Squirrel AI Award for Artificial Intelligence for the Benefit of Humanity from the Association for the Advancement of Artificial Intelligence (AAAI). This is the most prestigious award in the field of artificial intelligence. This award, similar only to world-renowned recognitions, such as the Nobel Prize and the Turing Award, carries a monetary reward at the million-dollar level. Duke Announcement | AAAI Announcement | Wall Street Journal AI Section feature article by John McCormick, October 14, 2021

I am proud to be named a 2022 Guggenheim Fellow! (press release)

The FLAME/DAME software package from the Almost Matching Exactly Lab was the honorable mention for the 2022 John M. Chambers Statistical Software Award from the American Statistical Association. Congratulations Vittorio and Neha!

The paper “How to See Hidden Patterns in Metamaterials with Interpretable Machine Learning” won the 2022 SPES+Q&P Student Paper Competition of the American Statistical Association. Congratulations Zhi!

Gah-Yi Ban and I won the 2021 Best OM Paper in OR Award from the Manufacturing and Service Operations Management Society of INFORMS. This award is given to the best operations management paper published in the journal Operations Research.

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)

Students from the lab have won major awards! Jerry Liu was awarded NSF Graduate Research Fellowship in 2022 and Honorable Mention of the Computing Research Association's (CRA) Outstanding Undergraduate Researcher Award for 2022. Caroline Wang and Sachit Menon were awarded Finalist of the Computing Research Association's (CRA) Outstanding Undergraduate Researcher Award for 2020. They join our very own Oscar Li, who won this award in 2019. Caroline Wang and Quinn Lanners were finalists for the NSF Graduate Research Fellowship in 2022.

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

Interpretability / Computer Vision

Computer Vision

Crime Data Mining


Meeting Analysis

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

Computational Poetry

Product Rankings

Power Grid Reliability



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


from The Docket on MSNBC