I am a Principal Researcher at Microsoft Semantic Machines, working at the intersection of Machine Learning and Natural Language Processing. I am currently leading a team working on a project related to user behavior modeling that cannot yet be shared publicly. Previously, I designed and shipped a contextual semantic parser that powers the Semantic Machines conversational AI platform. I also worked on other related research projects leading to multiple academic publications.

Prior to this, I was a PhD student in the Machine Learning Department of the School of Computer Science at Carnegie Mellon University. My advisor was Tom Mitchell and I worked on Never-Ending Learning. My PhD thesis on learning collections of functions can be found here. Throughout my PhD I also worked on multiple other projects related to artificial intelligence and machine learning.

Before I joined CMU, I graduated with an M.Eng. in Electrical and Electronic Engineering from Imperial College London. For my Master's thesis I proposed a way to use topic modelling methods in order to perform human motion classification.