I am a senior principal researcher at Microsoft Research in Redmond, WA. I work in the Artificial Intelligence section of the lab, concentrating mostly on understanding and predicting peoples' location. This has applications for mobile computing, local search, maps, and driving. I earned my PhD in Robotics from the School of Computer Science at Carnegie Mellon University.
Heba Aly and I, along with coauthors Gireeja Ranade and Eric Horvitz, won a best paper runner up award at the 2018 SIGSPATIAL Conference. Our paper is called "On the Value of Spatiotemporal Information: Principles and Scenarios".
I gave an invited talk called "Curious True Facts About People and Location" at a bio-navigation symposium in Kyoto, Japan in September of 2018. Can you find me in this picture? (Hint: front row.)
I gave a keynote talk at Ford's internal AI conference in June 2018. I explained our recent work on traffic modeling with a Markov random field, computing the value of GPS data, and finding safer driving routes.
My coauthors and I got the best paper award at the 6th International Workshop on Pervasive Urban Applications, collocated with UbiComp 2017. The paper describes an algorithm for predicting the number of taxi pickups in New York City.
What are the best questions a personal digital assistant should ask to learn the most about you? We used mutual information on census data to compute the best few questions. This was work with Nikola Banovic when he was an intern with me at Microsoft Research.
Events induce people to tweet. Here is the average number of tweets sent from some NFL football games in 2017. There is a steep rise in number before the game starts, and then a gradual decrease. There are parallels to evoked mental responses in the brain.