The brain is both mysterious and ordered. There are principles of design that shape anatomy, neural circuits, behavior, and the interplay between these.  My interests are at the interface between biology and physics, with a focus on the collection and analysis of long term (multi-day), high dimensional datasets of behavior. This type of work spans across much longer timescales for continuous recording than conventional experiments. Combining this with measures of brain activity and anatomical changes comprises a full picture of the dynamics of a biological system which is rich for detailed modeling and analysis. 

The size of data has grown enormously over recent years,  posing problems for both storage and analysis. The number of electrodes for electrophysiology has evolved from several to hundreds. The optical recordings of neurons with light sheet microscopes has expanded recordings from tens of neurons to recording activity from the entire brain. Paired with this, our understanding of behavior has become more nuanced and complex, behavior states are no longer binary but complex trajectories in high dimensional spaces. How we understand behavior or brain activity alone has become a challenge, nonetheless pairing these two massive datasets together within a single experiment. This challenge requires both understanding of the biology, which is essential for pointing analysis towards a biologically relevant answer, and quantitative skills. I have focused on this intersection as  a trained biologist and physicist while seeking to understand principles of brain and behavioral design and to build models to understand what drives behavior.