Scott W. LindermanSchool of Engineering and Applied Science
Maxwell-Dworkin, Room 138
33 Oxford Street
Cambridge, MA 02138
slinderman at seas.harvard.edu
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.
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 www.neuralstructure.org!
2/5/2014: Just published the results of some longstanding work on Discovering Latent Network Structure in Point Process Data, arXiv:1402.0914 [stat.ML].
9/4/2013: Thanks to the Harvard Applied Stats Workshop for inviting me to kick off their speaker series! Slides available here, "Discovering Latent Network Structure in Spiking Systems"