Scott W. Linderman

School of Engineering and Applied Science
Harvard University
Maxwell-Dworkin, Room 209
33 Oxford Street
Cambridge, MA 02138

slinderman at


I am a Computer Science Ph.D. candidate at Harvard University where I am quite fortunate to be advised by Leslie Valiant and Ryan Adams and to be a member of the HIPS group. My research is focused on computational neuroscience and machine learning, and the general question of how computer science can help us decipher neural computation. This includes bottom-up methods for inferring statistical patterns in large-scale neural recordings as well as top-down models of probabilistic reasoning in neural circuits.

I completed by B.S. in Electrical and Computer Engineering at Cornell University in 2008. Prior to beginning graduate school, I worked for three years as a software development engineer at Microsoft, specifically working on the Windows networking stack.


11/1/2014: Finally updated the site with some of my recent projects! I've been working with Chris Stock and Ryan Adams on sparse, time-varying GLMs for studying plasticity, and with Matt Johnson, Matt Wilson, and Zhe Chen on nonparametric time series models for neural spike trains!

4/15/2014: I'm excited to speak about my work on networks and point processes at the New England AI Meetup on May 1! Details here.

2/5/2014: Eric Jonas, Konrad Kording, Ryan Adams and I are organizing a workshop on "Discovering Structure in Neural Data" at Cosyne '14. Read more about it at!