My main interest is in bridging Machine Learning and Neuroscience. Current focus is on the “basic building blocks” of intelligence which in my definition contains concepts of architectures and learning rules. Previous work includes research in computer vision, natural language processing as well as reinforcement learning. My educational background is mostly in computer science.
I am currently a PhD/Graduate student at MIT BCS (Brain and Cognitive Sciences) where I am rotating between labs.
There are also some personal projects that I like to show here, all of which are centered around using technology to build useful innovations.