Daniel Uzcátegui

Postdoctoral Researcher – AI & Quantum Information

Education

  • Ph.D. in Physics
    Universidad de Antofagasta, Chile (2017–2022)
  • Licenciado en Física
    Universidad de los Andes, Mérida, Venezuela (2005–2014)

Research Experience

  • Postdoctoral Researcher (ANID Grant 3230427)
    Universidad de Concepción, Chile
    Focus: Quantum information theory and machine learning
  • Postdoctoral Researcher
    Millennium Institute for Research in Optics (MIRO) (2022–2023)
  • Research Assistant
    MINEDUC-UA projects ANT1956 (2020) & ANT20992 (2021)

Teaching Experience

  • Physics 1 for Biology students – 2019
  • Electricity and Magnetism (Engineering) – 2017
  • Physics Lab (Optics) – 2018

Publications

  1. Uzcategui-Contreras, D., et al. Machine Learning Approach to Reconstruct Density Matrices from Quantum Marginals. MLST, 2025. DOI
  2. Escandón-Monardes, J., Uzcátegui, D., et al. Estimation of high-dimensional unitary transformations. Quantum, 2024. DOI
  3. Uzcátegui, D. & Goyeneche, D. Reconstructing the whole from its parts. arXiv, 2022. arXiv
  4. Gómez, S., et al. Optimal strategy to certify quantum nonlocality. Sci Rep 11, 20489 (2021). DOI
  5. Uzcátegui, D., et al. Fast and simple quantum state estimation. J. Phys. A: Math. Theor., 2021. DOI
  6. Uzcátegui, D., et al. Circulant matrices with orthogonal rows... Comm. in Mathematics, 2021. DOI

Conference Presentations

  • Deep Learning for Entanglement Discrimination – MIRO Workshop (2025)
  • Quantum ML for Molecular Optimization – Santiago (Feb 2025)
  • Quantum Marginal Problem – MIRO 2024
  • Estimation of Unitary Transformations – MIRO 2023
  • About the Quantum Marginal Problem – MIRO 2022

Programming & Technical Skills

  • Quantum Information Research: Python (NumPy, SciPy, pandas, scikit-learn, Keras, PyTorch, Matplotlib), optimization, state estimation
  • Software Development (TTC): PyQt GUI design, SQL (MySQL/PostgreSQL), RealSense camera analysis

Professional Development

  • Bayesian Statistics: Techniques and Models – Coursera, 2024
  • Power BI Analyst Specialization – Coursera, 2024
  • Deep Learning Specialization – Coursera, 2021
  • PostgreSQL Database Specialization – Coursera, 2021
  • Intro to Computational Thinking – MITx, 2021