My research
I’m a fifth-year PhD student in the Cognitive Neuroscience & Machine Learning lab at Johns Hopkins University, advised by Dr Michael Bonner. I’m currently investigating the statistical structure of large-scale neural datasets containing visual cortex responses to natural images.
Read my preprint, please!
Check out my recent preprint on universal scale-free representations in human visual cortex! Any feedback would be greatly appreciated :)
Other stuff I’ve done
- 2024, Aug: I presented a poster at CCN 2024!
- 2024, May: I gave a talk at the 2024 Annual Meeting of the Vision Sciences Society. Check out my slides!
- 2023, Aug: I presented a tutorial at the conference on Cognitive Computational Neuroscience 2023. Check out our website!
Some half-baked thoughts
Brains are cool! It’s magical how some wet electric fatty meat bouncing around in my skull somehow gives rise to my rich internal world – everything I’ll ever experience is a consequence of the neural activity in my brain. How the heck does that happen? More specifically, how do we go from recordings of brain activity to understanding the complex computations that give rise to the mind? I don’t really know, but it’s exciting to work on the problem and chip away at it from many different angles.