I am a PhD Candidate at the Institute for Computational and Mathematical Engineering at Stanford University. I joined the Stanford Neuroscience and Artificial Intelligence Laboratory with P.I. Dan Yamins in September 2018 widely interested in understanding how the human brain works using computational models. I’ve worked in projects on recurrent models of the visual system, biologically-inspired learning rules and deep learning theory. More recently I’ve been working on understanding how to measure similarity betweeen individuals’ neural responses and how to map between them. I am also interested in the application and safe deployment of AI systems in the real world.

Before starting grad school, I spent two years working at a Mexican FinTech startup, teaching Computer Science, and doing research in machine learning for text mining. My non-academic interests include alpine skiing, cycling, hiking, cooking, and an ever-increasing obsession with coffee.

sagas [at] hey [dot] com