I've worked on a pretty broad range of research topics so far, from reinforcement learning for robot navigation, to a multitask learning framework for emotion detection. But I have been most interested in vision models, in particular efficient scene segmentation and object detection. Currently I'm working on something between the intersection of vision and bayesian inference.