I'm a second year PhD student at the Princeton Neuroscience Institute. Broadly speaking, I'm interested in the intersection between Neuroscience and Artificial Intelligence and Statistics. I'm particularly interested in leveraging ideas and methods from Reinforcement Learning and Bayesian models of behavior and cognition to inform Neuroscientific investigations. Currently I am jointly advised by Professors Nathaniel Daw and Jonathan Pillow, and closely collaborate with Professor Ilana Witten.

Below are a set of things that I've written up for classes I've taught or taken

- Basic probability thoughts/info in notebook form
- Linear Algebra notes part 1
- Linear Algebra notes part 2
- Polynomial Approximate Sufficient Statistics Linear Models

yaraujjo@princeton.edu | google scholar | github