Gabriel González

Gabriel González

M.Sc. Student & AI Researcher

I’m a Machine Learning researcher and M.Sc. student in Biomedical Engineering at Universidad de los Andes (CinfonIA), advised by Prof. Pablo Arbeláez. My work focuses on multimodal and generative deep learning for scientific applications. I am currently working projects on reproducible models and benchmarks for AI in materials science, drug discovery, and multimodal brain decoding. I’ve published in venues such as NeurIPS 2025 and Nature Scientific Data, and I collaborate with interdisciplinary teams as a Research Assistant in the Biomedical Computer Vision Group. My research interest includes generative models and multimodal learning in science and healthcare applications.

📝 Publications

NeurIPS 2025
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A Standardized Benchmark for Multilabel Antimicrobial Peptide Classification

Sebastian Ojeda, Rafael Velasquez, Nicolás Aparicio, Juanita Puentes, Paula Cárdenas, Nicolás Andrade, Gabriel González, Sergio Rincón, Carolina Muñoz-Camargo, Pablo Arbeláez

Dataset Code Google Scholar

  • Built a comprehensive benchmark for multilabel antimicrobial peptide (AMP) classification, under a unified set of antimicrobial categories.
  • Implemented a new SOTA baseline for AMP discovery employing transformers modules for sequence and 3D structure processing.
Scientific Data 2025
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A new benchmark for machine learning applied to powder X-ray diffraction

Sergio Rincón, Gabriel González, Mario A. Macías, Pablo Arbeláez

Dataset Code Google Scholar

  • Curated SIMPOD dataset of simulated powder XRD patterns from 467,861 crystal structures (COD), with 1D diffractograms and radial 2D representations.
  • Created an open source pipeline for benchmarking Machine Learning and Computer Vision models for Space Group Prediction.

🎖 Honors and Awards

  • 2019.01, Quiero Estudiar Escala Scholarship, Recipient of 95% tuition coverage awarded for academic excellence.
  • 2025.10, RISE–MICCAI Mentorship Program, Selected mentee in a one-year program supporting early career researchers from low/middle income countries; mentored in collaboration with the University of Birmingham, UK.

📖 Education

  • 2024.08 - 2026.04 (now), Universidad de los Andes, M.Sc. Biomedical Engineering.
  • 2021.01 - 2024.04, Universidad de los Andes, B.Sc. Biomedical Engineering.
  • 2019.01 - 2024.10, Universidad de los Andes, B.Sc. Electronics Engineering.

🎓 Theses

  • M.Sc. Thesis, Universidad de los Andes
    • Towards symmetric crystal structure prediction with flow matching equivariant transformers Google Scholar

    Advisor: Pablo Arbeláez

  • B.Sc. Thesis, Universidad de los Andes
    • Robust-NeuroBiometrics: sistema robusto de identificación biométrica basado en señales de electroencefalograma (EEG) Google Scholar

    Advisors: Pablo Arbeláez Fernando Lozano

🔬 Experience

  • Research Assistant, Universidad de los Andes
    • Research at the Biomedical Computer Vision Group at CinfonIA, advised by Prof. Pablo Arbeláez, focusing on multimodal and generative deep learning for drug discovery and materials design.
  • External Researcher, University of Birmingham