I’m a first year graduate student at Stanford interested in computational neuroscience, machine learning, and mathematics. Aside from academics, I’m into running, spelunking, and French people who wrote some cool stuff (e.g. Foucault <3).
Saunders Mac Lane, a mathematician deeply involved in the creation of category theory, once described his work as “abstract nonsense.” I think I fall roughly in the same boat as far as my specific interests but with some hope of ultimate salvation.
I’m interested in algebraic topology and its applications in data analysis, especially in the realm of neuroscience. This includes machinery developed for studying structural features of data, such as persistent homology, as well as theoretical considerations and limitations arising in commonly used methods (e.g I love this piece). In the biological realm, I’m fascinated by neural population dynamics underlying decision-making, ranging from state-space analyses of population activity to large-scale cortical oscillations.
People providing me validation
- NSF Graduate Fellowship
- Regina Casper Graduate Fellowship
Feel free to drop me an email at: ghwilson [at] stanford [dot] edu