Teaching

I’m currently a lecturer at Princeton University teaching the 300-level undergraduate course “Mathematical Tools for Neuroscience” (NEU 314) and the graduate-level course “Cognitive Computational Neuroscience” (NEU 502B).

Mathematical Tools for Neuroscience website
^{NEU 314}

This course introduces students to the mathematical tools at the core of computational neuroscience research. The course aims to familiarize students with topics in linear algebra, statistics, and machine learning, with a heavy emphasis on applications to neurobiology. Lectures on each topic will develop the relevant mathematical background with links to foundational applications in the field. Coursework will focus primarily on problem sets requiring the implementation of models and analyses in Python. The course will equip students with a practical proficiency in various computational methods, including programming skills in data analysis and visualization that are increasingly important to scientific inquiry in general, and neuroscience in particular.

Cognitive Computational Neuroscience website
^{NEU 502B}

This lab course surveys the methodological landscape of cognitive computational neuroscience research. Students will learn the fundamentals of experimental design, data collection, preprocessing, and statistical analysis for fMRI and EEG/MEG, with an emphasis on best practices in reproducible neuroscience. Lectures will set the conceptual foundation for interactive, hands-on lab work using Jupyter notebooks. Advanced topics include multivariate pattern analysis (MVPA), representational similarity analysis (RSA), and regularized encoding models. This year, we’re experimenting with a new format that will interleave two threads: empirical (E) classes focused on fMRI and MEG projects, and computational (C) classes focused on modeling and neural networks. E classes will provide the empirical backbone of the course, while C classes (typically on Wednesdays) will focus on interactive modeling exercises paralleling the topics discussed in 502A. These two threads will converge over the course of the term. Students will be expected to design, analyze, and write up a both an fMRI experiment and an OPM-MEG experiment as graded projects.