Matt O'Shaughnessy

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Ph.D. Student
School of Electrical & Computer Engineering
Georgia Institute of Technology

Email: moshaughnessy6@gatech.edu

CV
Google Scholar

About me

I am a Ph.D. student in the School of Electrical and Computer Engineering and Center for Machine Learning at Georgia Tech. I'm very fortunate to be advised by Mark Davenport and Chris Rozell, and to be supported by the NDSEG Fellowship.

My broad research interests span statistics, signal processing, and machine learning; I am particularly interested in the role of structure and causality in statistical inference. My past and current work involves (1) Bayesian methods for tracking sparse signals; (2) the use of low-dimensional models in theory and algorithms for causal inference; and (3) causality and sparsity in dynamical system identification and control.

Outside of research, I enjoy hiking and cycling, music (especially classical), reading, and cooking. I have an only slightly tenuous claim to an Erdös-Bacon-Sabbath number: my Erdös number is 4; as an extra in a major movie I have a Bacon number of 2; and as a former violist I performed with friends who now record with major artists.

Publications

Journal papers

Conference papers

Other

Work Experience

Teaching

From Fall 2013 to Spring 2016, I was an undergraduate teaching assistant for CS 1371, Georgia Tech's introductory computing class for engineers. I taught a weekly recitation section and led a team developing software tools for students.





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