Gagan Bansal

Gagan Bansal

I am a member of the Cloud and Information Services Lab (CISL) at Microsoft where I work on projects related to data mining and machine learning.

I joined Microsoft from Yahoo! Labs where I worked on several display ad targeting products including behavioral targeting (BT) and audience expansion. At Yahoo!, I developed several grid based workflows for user modeling, designed and developed near real time scoring systems for BT and was involved in several large scale data analyses for obtaining critical product insights among other projects. Prior to Yahoo!, I worked on algorithms and systems for social targeting in online advertising at a startup (33Across). Before 33Across, I worked for another startup where I was involved in the development of real time video processing algorithms for advertising in sports broadcast.

I obtained my Masters in Computer Science from Johns Hopkins University where I worked on pedestrian detection in videos for my thesis. Before that, I graduated with a Bachelors in Computer Science degree from Indian Institute of Technology, Delhi.

I enjoy working on problems related to machine learning, large scale data processing and computer systems.