Soon after graduating with a Bachelors and Masters, I joined the residency program. While majoring in Math, I explored some exciting problems across statistical machine learning, robotics and multi-agent systems. I believe insights gathered across these fields is essential to develop intelligent behavior in artificial agents. My research is motivated by developing machines which meaningfully interact with the real world. I am broadly interested in enhanced perception, control and reasoning, to allow robots to replicate and generate complex behavior. To this effect, over the course of the residency I have primarily been working on developing sample efficient algorithms for imitation learning. Alongside, I have been fortunate to collaborate on and explore my interests in program learning and generative models for audio. The residency has been a rewarding experience, providing me with a unique opportunity to grow as a researcher and learn from amazing colleagues, mentors.