Haozhe Shan - Homepage | Graduate student in theoretical neuroscience

Hey there,

My name is Haozhe (“zhe” is pronounced like “ju” in “just”). I’m a Ph.D. student in Neuroscience advised by Haim Sompolinsky at Harvard.

I’m broadly interested in theoretical/computational neuroscience. I use tools from physics, computer science, and statistics inference to understand neural networks, both biological and artificial. I have worked on theory of stochastic processes, learning dynamics in deep networks, graphical models for animal behaviors, and other topics. I am also interested various aspects of language, including philosophy of language and language-related applications of ML.

Previously, I studied Psychology and Computational Neuroscience at the University of Chicago. With Peggy Mason, I studied how social behaviors in rats are affected by internal states.

Find me on twitter

Teaching

I was a teaching fellow at

  • 2020 Fall: Harvard AP 286: Inference, Information Theory, Learning and Statistical Mechanics (w/ Prof. Sharad Ramanathan)

  • 2020 Spring: MIT 6.806/6.864 Advanced Natural Language Processing (w/ Prof. Jacob Andreas)

  • 2019 Spring: Harvard MCB 131: Computational Neuroscience (w/ Prof. Haim Sompolinsky)

  • 2018 Spring: Harvard MCB 120: Introduction to Computational Neuroscience (w/ Prof. Kenneth Blum)

  • 2017 Fall: Harvard CS 281: Advanced Machine Learning (w/ Prof. Sasha Rush)