I finished my Ph.D. in computer vision at
The University of Chicago
under the supervision of Pedro Felzenszwalb
in April 2012.
Now, I'm a postdoctoral fellow working with
Jitendra Malik at
My main research interests are in computer vision, AI, and machine learning. I'm particularly focused on building models for object detection and recognition. These models aim to incorporate the "right" biases so that machine learning algorithms can understand image content from moderate to large-scale datasets. I always have an eye towards fast systems that work well in practice.
During my Ph.D., I spent time as a research intern at Microsoft Research Cambridge, UK working on human pose estimation from depth images. I also participated in several first-place entries into the PASCAL VOC object detection challenge, and was awarded a "life-time achievement" prize for my work on deformable part models. I think this refers to the life-time of the PASCAL challenge—and not mine!