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daoterog/README.md

👋 Hi, I'm Daniel

I'm an incoming Master's student in Artificial Intelligence at the University of Amsterdam, with a deep interest in computer vision, video understanding, and self-supervised learning. I’m particularly drawn to questions around learning robust representations and generalizing beyond labeled data.

Over the past year, I’ve had the chance to present at top machine learning venues, contribute to workshops, and work under the guidance of incredible mentors. My long-term goal is to pursue research in academia — and I’m currently looking to collaborate, learn, and contribute wherever I can bring value.


🗓️ Recent Highlights

  • September 2025 · Starting my MSc in Artificial Intelligence at the University of Amsterdam.
  • June 2025 · Awarded the Colfuturo Credit-Loan Scholarship, ranking 4th out of 1,000+ applicants.
  • December 2024 · Presented a paper at the Self-Supervised Learning: Theory and Practice Workshop @ NeurIPS 2024.
    • Received Best Paper and Oral Presentation at the Latinx in AI (LXAI) Workshop @ NeurIPS 2024.
  • July 2024 · Presented my first research project at the LXAI Workshop @ ICML 2024.

🚀 Interests

  • Self-Supervised Learning
  • Video and Temporal Representation Learning
  • Out-of-Distribution Generalization
  • Research with Social Impact & Accessibility

📫 Feel free to connect or reach out — I’m always open to learning and collaborating.

Pinned Loading

  1. ssl-4-anomaly ssl-4-anomaly Public

    This is the code for: "Self-Supervised Learning in the Wild: Favor Joint-Embedding Methods"

    Python

  2. cooper cooper Public

    Forked from cooper-org/cooper

    A toolkit for Lagrangian-based constrained optimization in Pytorch

    Jupyter Notebook