Visiting Assistant Professor of Neuroscience
For Fall 2023, I am teaching a new course titled Math Methods and Models in Neuroscience (syllabus here). The course introduces mathematical concepts useful to modern computational neuroscience research, including matrix decomposition, dynamical systems, information theory, and deep learning. The focus is on building mathematical intuition and applicable skills in Python, as well as giving students freedom to pursue projects of personal interest.
In Spring 2024 I will be teaching a new course titled Artificial & Biological Vision. We will cover various organisms' visual systems in significant depth, and compare and contrast their mechanisms and function to those of machine vision systems at varying levels of sophistication. This is a hands-on course in which students will build their own models of artificial vision.
Lecturer of Liberal Arts
School of the Art Institute of Chicago
From August 2019 to June 2020 I was a lecturer at SAIC. My course was titled Light & Vision. The course explored the physics of light and how visual systems allow animals to navigate the world using light. Two topics of special focus were color and evolution. We also considered the history and philosophy of science, how artists have experimented with light and perception in their work, and machine vision and AI-driven visual art today.
The University of Chicago
Between 2018 and 2021 I have been a TA for the Fundamentals of Neuroscience course and the Systems Neuroscience course in the College at UChicago. I facilitated student-instructor relations and led weekly discussion sections and hands-on labs. The courses covered extensive ground, spanning evolutionary, developmental, systems, computational, and social neuroscience, and we dissected a fair number of brains!