WRF Neuroengineering Assistant Professor of Biology, Data Science Fellow
Biological Sciences, Machine Learning, Statistics
I am an Assistant Professor in the Biology department at UW, supported by the Washington Research Foundation (WRF) through the new UW Institute of Neuroengineering (UWIN). I am also a Data Science Fellow of the UW eScience Institute and a faculty member of the Graduate Program in Neuroscience. I consider myself primarily a computational neuroscientist interested in how networks of neurons compute and also how computational methods help us understand meausurements from neurons. I am also broadly interested in visualizing, manipulating, and understanding complex, dynamic data, particularly from biologically relevant systems.
Previously, I was a postdoc at UW working with Nathan Kutz in the Applied Math department and Tom Daniel in the Biology department. I learned a lot about computational techniques that exploit inherent sparsity in complex data; my collaborators and I continue to develop data-driven, low-dimensional dynamic models for biological and engineered systems.
I grew up in Maryland (MBHS) and was an undergrad at Caltech, where I majored in biology. Afterwards, I went to Princeton and studied neuroscience with Carlos Brody. In Carlos’s lab, I trained rodents to perform decision-making tasks and developed computational models to help us understand mechanisms underlying their behavior. I also did some experimental work in electrophysiology, neuropharmacology, and human psychophysics.