I'm a firm believer in the idea that one doesn't truly understand something until they try to teach it to someone else. This was the impetus for the creation of Caches to Caches. With a background in Physics and Robotics, I have experience in subjects spanning math, physics, communication and machine learning, and I aim to hone my understanding by sharing what I know.
I am an Assistant Professor of Computer Science at George Mason University where I run the Robotic Anticipatory Intelligence & Learning (RAIL) Group. Our research, at the intersection of robotics and machine learning, is centered around developing representations that allow robots to better understand the impact of their actions, so that they may plan quickly and intelligently in a dynamic and uncertain world.
Feel free to get in touch on twitter and learn more about my work at my lab website.