Benjamin Cowley

PhD Student in Machine Learning

"The brain is a wonderful organ; it starts working the moment you get up in the morning and does not stop until you get into the office." -- Robert Frost

Research

My name is Ben Cowley, and I'm currently a sixth-year PhD student in Machine Learning, School of Computer Science, at Carnegie Mellon University. I am also affiliated with the Center for the Neural Basis of Cognition in Pittsburgh.

My research is in the field of computational neuroscience, where I develop and apply machine learning techniques to understand the brain. To this end, I analyze high-dimensional neuronal population activity, and develop dimensionality reduction methods to aid in these analyses. I also develop adaptive stimulus selection methods to elicit large and varied neural responses in order to study how neural variability affects the fidelity of stimulus information.

Group and funding

I am a part of the Yu Research Group, and my advisor is Professor Byron Yu in the Departments of Electrical and Computer Engineering and Biomedical Engineering at Carnegie Mellon. I also collaborate with Professor Matthew Smith at the University of Pittsburgh and Professor Adam Kohn at Albert Einstein College of Medicine.

I am honored to be supported by the CMU BrainHub Mellon Fellowship (2016-2017), National Defense Science and Engineering Graduate Fellowship (2013-2016) and the NSF Graduate Research Fellowship Program (2012-2013).

Google Scholar page: Benjamin Cowley

Contact:

Benjamin Cowley
8009 GHC