CV

My extensive CV

General Information

Full Name Andrej Dvornik
Languages Slovenian (native), English (C2), German (B2), French (A1)

Experience

  • 2019 - present
    Postdoctoral researcher, data science lead
    Ruhr-Universität Bochum, Bochum, Germany
    • Built scalable pipelines for 10M+ object datasets; automated analysis and visualization.
    • Developed advanced ML/statistical models, applied in 5+ peer-reviewed papers.
    • Supervised MSc & BSc students; co-led international research collaborations.
  • 2015 - 2019
    PhD researcher
    Leiden University, Leiden, The Netherlands
    • Processed and analysed petabyte-scale astronomical imaging data with Python and SQL.
    • Developed software for statistical modelling and Bayesian inference.

Education

  • 2019
    PhD in Astronomy and Astrophysics
    Leiden Observatory, Faculty of Science, Leiden University, The Netherlands
    • Thesis title: The Galaxy - Dark Matter Connection: A KiDS Study
  • 2015
    MSc in Astronomy
    Leiden Observatory, Faculty of Science, Leiden University, The Netherlands
  • 2013
    BSc in Physics
    Faculty of Mathematics and Physics, University of Ljubljana, Slovenia

Open Source Projects

  • 2019-now
    OnePower
    • Python package for computing power spectra and one-point statistics using the halo model framework.
  • 2021-now
    OneCovariance
    • Python package for computing covariance matrices for cosmological analysis.

Honors and Awards

  • 2009 - 2013
    • Žiga Zois scholarship for exceptional students
  • 2013 - 2015
    • AdFutura scholarship

Academic Interests

  • Weak gravitational lensing, large scale structure, cosmology, dark matter, dark energy, galaxy-dark matter connection, halo model

Skills

Programming & Tools Python, C, julia, Swift, SQL, bash/zsh, Objective-C, TensorFlow, PyTorch, scikit-learn, pandas, NumPy, SciPy, matplotlib.
Data Science Expertise Bayesian statistics, MCMC, machine learning, regression analysis, big data pipelines, distributed computing, deep learning, time-series analysis, graph analytics.
Leadership & Communication International team coordination, mentoring, public speaking, stakeholder engagement, cross-functional collaboration.