Rafael Mateus Carrion

About

I'm a first-year student in M.Sc. in Data Science at Center for Data Science at New York University (NYU).

Previously, I gratuated from Mathematical Engineering at Universidad EAFIT in Medellín, Colombia.

Research interests: Self-Supervised Learning, Cognitive Learning, Computer Vision.

Contact: rafael (dot) m (at) nyu (dot) edu

Sep 02: I am joining AI Fund as a Research Scientist Intern.
Jul 05: I will be attending ICML 2025 in Vancouver, Canada.
Apr 07: I was awarded the CDS Pathbreaker Scholarship.
Mar 11: I was accepted to the Master's in Data Science program at NYU Center for Data Science.
Mar 03: I am joining AI Fund as an ML Engineer.

Dec 10: Our work Self-Supervised Anomaly Detection in the Wild: Favor Joint Embeddings Methods was selected as Oral Presentation and was awarded the Best Poster Award at the LatinX in AI Workshop at NeurIPS 2024.
Dec 01: I will be attending NeurIPS 2024 in Vancouver, Canada.
Oct 15: Our work on Self-Supervised Anomaly Detection in the Wild: Favor Joint Embeddings Methods under the supervision of Professor Randall Balestriero has been accepted at the Self-Supervised Learning - Theory and Practice Workshop & at the LatinX in AI Workshop at NeurIPS 2024.
Jul 13: I will be attending ICML 2024 in Vienna, Austria.
Jun 10: Our work on Self-Supervised Learning for Identifying Defects in Sewer Footage has been accepted at the LatinX in AI Workshop at ICML 2024.

Aug 01: I have accepted a full-time role at EXIT83 Consulting as AI/ML Engineer.
Jul 15: I just graduated from B.Sc in Mathematical Engineering from Universidad EAFIT.
Jun 01: I have been selected as one of 40 participants across Latin America for the Machine Learning Bootcamp at Mercado Libre, a 2-month intensive bootcamp on Machine Learning and Artificial Intelligence.
Apr 15: I am joining EXIT83 Consulting as AI/ML Specialist Intern.

2022

Apr 22: I was offered a Software Engineering Internship at Meta (London, UK).
Jan 10: I am joining Grupo Nutresa as Data Science and Analytics Intern.

Daniel Otero, Rafael Mateus, Randall Balestriero. Self-Supervised Anomaly Detection in the Wild: Favor Joint Embeddings Methods. Self-Supervised Learning - Theory and Practice Workshop at NeurIPS, 2024.
Daniel Otero, Rafael Mateus. Self-Supervised Learning for Identifying Defects in Sewer Footage. LatinX in AI Workshop at ICML, 2024.

2021: Introduction to Python & Agent-Based Modeling and Simulation by Paula Escudero.

General Chair for the LatinX in AI Workshop at ICML 2025.
Presentation Chair for the LatinX in AI Workshop at NeurIPS 2024.
Student Representative at the Mathematical Engineering Program Committee in Universidad EAFIT, 2020-2021.