Check here our recent #ICML2024 paper on mechanistic interpretability!

Víctor Samuel
Pérez-Díaz


PhD Student, NYU Courant Institute of Mathematical Sciences



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Hi! Thanks for visiting my website. My name is Víctor Samuel Pérez Díaz.

I am a PhD Student at NYU Courant Institute of Mathematical Sciences, working with David Fouhey.

Previously, I served positions at the Center for Astrophysics l Harvard & Smithsonian, IAIFI, Harvard John A. Paulson School of Engineering and Applied Sciences, and Universidad del Rosario (Colombia). I hold my B.Sc. in Applied Mathematics and Computer Science from Universidad del Rosario. I a member of AstroAI.

My research focuses on leveraging artificial intelligence (AI) for scientific discovery. I have primarily worked in the intersection of machine learning and (astro)physics. I am interested in foundation models for science, interpretability, and robustness.

Get in touch
v.perez.diaz at nyu.edu