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Experience

Postdoctoral Researcher - Medical Imaging
IMAGE Section, DIKU, University of Copenhagen // 2024 - Present
  • Working with large dental datasets to study treatment outcomes and population-level trends.
  • Building segmentation tools that use biomechanical priors to make annotation faster and more reliable.
  • Exploring computer vision methods for microscopy image analysis.
  • Developing approaches for explainable AI in medical imaging.
PhD Researcher - Biophysics
Niels Bohr Institute, University of Copenhagen // 2021 – 2024
  • Used differentiable programming to model microorganism chemotaxis and decision-making.
  • Built reinforcement-learning agents replicating cellular navigation.
  • Spent three months at Imperial College London working on biological systems theory.
  • Published in high impact journals such as Nature Communications Biology, PNAS and Physical Review Letters.
  • Awarded Diploma of Excellence in SCIENCE for doctoral thesis.
Teaching Assistant
University of Copenhagen // 2020 – 2023
  • High‑Performance Programming & Systems
  • Elements of Machine Learning
  • Numerical Methods in Physics
Software Developer
Nucleids Applied Science, Barcelona // Jun 2018 – Aug 2019
  • Built WPF C# tools for scientific computing in labs & nuclear plants.
  • Added real‑time monitoring and analysis for particle‑detection rigs.

Education

PhD in Biophysics
Niels Bohr Institute, University of Copenhagen // 2021 – 2024
MSc in Computational Physics
Niels Bohr Institute, University of Copenhagen // 2019 – 2021
  • Thesis: Use of Tensor Processing Units (TPUs) in Physics Simulations
BSc in Physics
University of Barcelona // 2014 – 2019
  • Minor: Theoretical Physics

Projects

Open Source Software
GitHub: alonfnt
  • I Maintain and contribute to scientific computing, ML, and visualization tools.
  • Curated project list: /software/

Publications

Peer‑Reviewed Research
Nature Communications Biology, PNAS, PRL, etc.
  • Full publication list: /research/
  • Includes abstracts and links to articles.