Intelligent & novel devices to interact with the physical world.
The science of using data to make decisions in the presence of uncertainty.
Making sure the stakeholders of automation are in the conversation.
I'm interested in the intersection of machine learning and control, with applications to experimental robotics. With Kris, I am working on direct synthesis of robot controllers with model-based reinforcement learning where we do not need any past system knowledge. For an overview of my recent work, you can find a shortened version of my qualifying exam slides here, or a private recording here.