An AI researcher, Professor and Consultant.

My research
Throughout my career, I have been fortunate to contribute to various research directions, including machine translation, natural language processing, imitation learning, reinforcement learning, optimization, offline reinforcement learning, and machine learning infrastructure and systems. A detailed list of my publications can be found on my Google Scholar page.
Currently, my main research interests are in building scalable machine-learning systems that are aligned with a feedback. The feedback might be coming from either humans or as a result of some form of algorithmic computation. On this page, I also list three pillars of my research that I believe will be crucial to address as we integrate AI algorithms into the real world and societies.
The three research pillars
My Research Vision
Build safe, robust🦾 agents🤖 that can make use of the experiential📝 data efficiently 🏎 to make a positive impact.