I am a principal scientist and manager at the MIT-IBM Watson AI lab. My current work is particularly focused on deep learning methods that are label-efficient (learning with limited labels), sample-efficient (learning with less data), and computationally efficient. I am also interested in multimodal perception methods that combine vision, sound/speech, and language. 

I am passionate about doing fundamental research as well as developing systems that make a real-world impact. My work has not only been published in top AI conferences, but has also been integrated into multiple products, and covered by media outlets such as the New York Times, ABC News, and CBS 60 minutes. See my bio for more information about me.