A theoretical physicist by training, my research is centered around intelligent machines. I do both theoretical and experimental work. The theoretical work is focussed on analyzing distributed/networked algorithms in the context of control theory and machine learning, using tools from statistical physics. My lab is involved in brain-wide mesoscale circuit mapping in the Mouse as well as in the Marmoset. An organizing idea behind my research is that there may be common underlying mathematical principles that constrain evolved biological systems and human-engineered systems.