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Víctor Samuel Pérez Díaz

samuelperezdi.com

About me

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Hi! 👋🇨🇴

I'm an Applied Mathematician and Computer Scientist, currently serving as a Research Fellow at the Harvard John A. Paulson School of Engineering and Applied Sciences and the Center for Astrophysics l Harvard & Smithsonian. I am also part of AstroAI. I hold my B.Sc. from Universidad del Rosario (Colombia).

My research focuses on leveraging artificial intelligence (AI) for scientific discovery. My focus lies at the intersection of machine learning and (astro)physics. I am interested in foundation models for science, interpretability, and robustness. Check my work here.

Víctor Samuel Pérez Díaz's Projects

advanced_data_analysis icon advanced_data_analysis

Repository for the course of Advanced Data Analysis at Universidad del Rosario. Applied Mathematics and Computer Science degree.

ai icon ai

AI course at Universidad del Rosario

astrox icon astrox

Development and experimentation repository for the project "Unsupervised Machine Learning for the Classification of Astrophysical X-ray Sources". V. S. Pérez-Díaz, J. R. Martínez-Galarza, A. Caicedo, R. D'Abrusco.

bigdata icon bigdata

Big Data course at Universidad del Rosario.

cloudcomp icon cloudcomp

Cloud Computing course at Universidad del Rosario. School of Engineering, Science and Technology. Applied Mathematics and Computer Science degree.

databases icon databases

Course of databases, Applied Mathematics and Computer Science, Universidad del Rosario.

development icon development

Repository for Web Development course. Applied Mathematics and Computer Science, Universidad Del Rosario.

elfarol icon elfarol

Research project. Modeling, simulating, and validating different approaches of modeling for El Farol congestion problem.

logicproject icon logicproject

Project for Logic for Computer Science course. Applied Mathematics and Computer Science, Universidad Del Rosario.

mystudy icon mystudy

This repository contains all my programming study.

neurodiffeq icon neurodiffeq

A library for solving differential equations using neural networks based on PyTorch, used by multiple research groups around the world, including at Harvard IACS.

nlp icon nlp

NLP course at Universidad del Rosario.

nuclr-mechinterp icon nuclr-mechinterp

Mechanistic Interpretability of the Neural Co-learned Representations model.

nuclr_interp icon nuclr_interp

Mechanistic Interpretability for a Deep Neural Network tailored for Nuclear Physics

rushmath icon rushmath

RushMath project for programming course. Applied Mathematics and Computer Science, Universidad Del Rosario.

umlcaxs icon umlcaxs

Final repository for the project "Unsupervised Machine Learning for the Classification of Astrophysical X-ray Sources". V. S. Pérez-Díaz, J. R. Martínez-Galarza, A. Caicedo, R. D'Abrusco.

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