I am currently a scientist at the Allen Institute with a primary focus on developing machine learning tools and techniques to study information flow within neural circuits. I completed my Ph.D. under the supervision of Dr. Jose C. Principe. My doctoral research focused on designing generative models to capture transient events in brain recordings (EEG, MEG, ECoG) to develop a feature space for predicting subject intent, and constructing neural communications maps in behaving animals.

My work heavily derives from the fields of machine learning, statistical signal processing, and information-theoretic learning.