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. For more detailed expositions about my interests see my blog posts.
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.
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"
5/1/2013: Had a great time at the 2nd annual New England Machine Learning Day! Just posted a copy of my poster, "Discovering Structure in Spiking Networks."
1/25/2013: Check out our poster and abstract, "Inferring functional connectivity with priors on network topology," at Cosyne '13!
1/16/2013: Is something missing from your life? It's probably the HIPS blog. Read it!