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  • Trieste, Italy

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manuel-morales-a/README.md

Manuel Morales-Alvarado

🔬 Physicist building interpretable AI and foundation models for scientific discovery
🇮🇹 Postdoct, INFN Trieste | 🇬🇧 PhD, University of Cambridge

I develop machine learning methods that make scientific inference more reliable, interpretable, and data-efficient, with applications from collider phenomenology to broader AI-for-Science problems.

🧠 Research interests

  • Interpretable machine learning
  • Foundation models for scientific data
  • Symbolic regression & equation discovery
  • Uncertainty quantification
  • PDFs/SMEFT and precision collider phenomenology

🛠 Tools

Python • PyTorch • PyMC • NumPy/SciPy • JAX
LHAPDF • Scikit-HEP • PySR • LLM workflows • HPC environments

📄 Research profiles

✉️ Contact

mmorales@sissa.it

Popular repositories Loading

  1. PBSP_PDFs_newphysics PBSP_PDFs_newphysics Public

    This repo contains the code, files, and runcards required to reproduce and analyse the PDF fits in the presence of New Physics presented in [arXiv:2307.10370](https://arxiv.org/pdf/2307.10370.pdf).

    Python 1 1

  2. IRC_Exercises IRC_Exercises Public

    Jupyter Notebook

  3. Introduction-to-Research-Computing Introduction-to-Research-Computing Public

    Forked from ChandrimaGanguly/Introduction-to-Research-Computing

    Course materials for the Introduction to Research Computing course

    Jupyter Notebook

  4. awesome-public-datasets awesome-public-datasets Public

    Forked from awesomedata/awesome-public-datasets

    A topic-centric list of HQ open datasets.

  5. starter-hugo-academic starter-hugo-academic Public

    Jupyter Notebook

  6. manuel-morales-a.github.io manuel-morales-a.github.io Public

    HTML