Pushmeet Kohli is a research scientist in the Machine Learning and Perception group at Microsoft Research Cambridge, an associate of the Psychometric Centre and Trinity Hall, University of Cambridge.

Pushmeet’s research revolves around Intelligent Systems and Computational Sciences, and he publishes in the fields of Machine Learning, Computer Vision, Information Retrieval, and Game Theory. His current research interests include “human behaviour analysis” and the “prediction of user preferences”. Pushmeet is interested in designing autonomous and intelligent computer vision, bargaining and trading systems which learn by observing and interacting with users on social media sites such as Facebook. He is also investigating the use of new sensors such as KINECT for the problems of human pose estimation, scene understanding and robotics.

Pushmeet has won a number of awards and prizes for his research. His PhD thesis, titled "Minimizing Dynamic and Higher Order Energy Functions using Graph Cuts", was the winner of the British Machine Vision Association’s “Sullivan Doctoral Thesis Award”, and was a runner-up for the British Computer Society's “Distinguished Dissertation Award”. Pushmeet’s papers have appeared in Computer Vision (ICCV, CVPR, ECCV, PAMI, IJCV, CVIU, BMVC, DAGM), Machine Learning, Robotics and AI (NIPS, ICML, AISTATS, AAAI, AAMAS, UAI, ISMAR), Computer Graphics (SIGGRAPH, Eurographics), and HCI (CHI, UIST) conferences. They have won best paper awards in ICVGIP 2006, 2010, ECCV 2010 and ISMAR 2011. His research has also been the subject of a number of articles in popular media outlets such as Forbes, The Economic Times, New Scientist and MIT Technology Review. Pushmeet is a part of the Association for Computing Machinery's (ACM) Distinguished Speaker Program.