CV

Full CV available here.

Education

• Ph.D. in Physics and Astronomy, University College London, 2023
  • Full thesis available in the UCL library or as a PDF.
  • Astronomy Genealogy Project’s AstroGen tree here.
• MSci in Physics, Imperial College London, 2019

Research experience

• Apr. 2024 - Now: Postdoctoral Research Associate
  •    Institute for Computational Cosmology & Centre for Extragalactic Astronomy, Durham University (UK)
  •    Large scale structure, dark matter, dark energy, cosmological inference, simulation-based inference, strong and weak gravitational lensing observations, charge transfer inefficiency on the VIS instrument in the Euclid Space Telescope, and statistical techniques for medical cancer research (AI-VISION). Active member of Euclid (SWG Weak Lensing and VIS), Kilo-Degree Survey (KiDS), COSMOS-Web and Habitable Worlds Observatory.
• Jun. 2023 - Apr. 2024: Postdoctoral Research Fellow
  •    Cosmoparticle Initiative, University College London (UK)
  •    Development of forward models for large-scale structure measurements by the Euclid Space Telescope, and the Kilo-Degree Survey.
• Jun.-Aug. 2018: Research Intern
  •    ICIC, Astrophysics Group, Department of Physics, Imperial College London (UK)
  •    Development of a novel Bayesian method together with to analyse spectra of gamma rays detected by the Fermi LAT.
  •    Advisers: Dr Alex Geringer-Sameth, Prof. Roberto Trotta
• Jun.-Aug. 2017: Research Intern
  •    ICIC, Astrophysics Group, Department of Physics, Imperial College London (UK)
  •    Development of an outreach map containing the location in space of most objects ever discovered from the low Earth orbit to the edge of the observable.
  •    Adviser: Prof. Roberto Trotta
• Jul. 2015: Research Intern
  •    Instituto de Astrofísica de las Canarias, IAC (Spain)
  •    Observation nights on the Teide (Tenerife) with the IAC-80 telescope.
  •    Advisers: Dr Miquel Serra-Ricart, Juan Carlos Casado
• Jul. 2014: Research Intern
  •    Centro de Astrofisica da Universidade do Porto, CAUP (Portugal)
  •    Computational analysis of supernovae and Hubble parameter data.
  •    Adviser: Dr Carlos Martins

Leadership roles

• Apr. 2024-Now: Coordinator of the VIS charge-transfer inefficiency efforts
  •    Euclid consortium
  •    Execution and reporting of CTI calibration effort within OU-VIS.
• 2024-Now: Kilo-Degree Survey builder status
  •    KiDS consortium
• Jun. 2023-Now: Coordinator of variable depth modelling project
  •    Euclid consortium
  •    Execution and reporting of variable depth standard project within SGS LE3.
• Jan. 2021-Now: Coordinator simulation-based inference & forward modelling team
  •    KiDS consortium
  •    Execution and reporting of SBI and simulations for KiDS-1000 and Legacy.

Professional experience

• Oct. 2024-Now: Creator & organiser of ‘Scraps of Science’ sessions
  •    Durham University (UK)
  •    Fortnightly session where all members of the astronomy group discuss current research.
• Oct. 2024-Now: Organiser of ‘Lensing Lunch’ sessions
  •    Durham University (UK)
  •    Fortnightly session to discuss and present gravitational lensing-related research.
• 2023-2024: Journal referee, Monthly Notices to the Royal Astronomical Society and the Open Journal of Astrophysics
  •    Referee for papers submitted to MNRAS and OJA.
• May 2023: Organiser & chair of a conference for KiDS consortium
  •    UCL Observatory (UK)
  •    Organisation of a week-long KiDS consortium meeting and social activities.
• Sep. 2021 - Jun. 2022: Organiser of the cosmology journal club
  •    University College London (UK)
  •    Weekly cosmology journal club at UCL. Development and implementation of the “hybrid” format which combined remote and in-person attendance.
• Jan. - Jun. 2021: Organiser of the astrophysics lunch talks
  •    University College London (UK)
  •    Organisation and moderation of the twice-per-term talks by internal and external speakers.

Skills

• Proficient in, and comprehensive understanding of Python
• Proficient understanding of Python scientific packages such as numpy, scipy, pandas, and matplotlib
• Experienced in C++, bash, Mathematica and LaTeX
• Familiar with SQL, R and HTML
• Experienced in the use, deployment and development of machine learning algorithms/AI
• Implementation of parallel processes through MPI, OpenMP and multiprocessing
• Collaborative coding and version management through git
• Experienced in high-performance computing and cluster management
• Proficient in reading, writing, speaking and listening of English, German, Spanish and Catalan

Publications

KiDS-Legacy: Redshift distributions and their calibration

Wright, A. H., Hildebrandt, H., Busch, J. L. V. D., Bilicki, M., Heymans, C., Joachimi, B., ... & Zhang, Y. H. (2025). KiDS-Legacy: Redshift distributions and their calibration. arXiv preprint arXiv:2503.19440.

KiDS-Legacy: Cosmological constraints from cosmic shear with the complete Kilo-Degree Survey

Wright, A. H., Stölzner, B., Asgari, M., Bilicki, M., Giblin, B., Heymans, C., ... & Zhang, Y. H. (2025). KiDS-Legacy: Cosmological constraints from cosmic shear with the complete Kilo-Degree Survey. arXiv preprint arXiv:2503.19441.

KiDS-Legacy: Consistency of cosmic shear measurements and joint cosmological constraints with external probes

Stölzner, B., Wright, A. H., Asgari, M., Heymans, C., Hildebrandt, H., Hoekstra, H., ... & Zhang, Y. H. (2025). KiDS-Legacy: Consistency of cosmic shear measurements and joint cosmological constraints with external probes. arXiv preprint arXiv:2503.19442.

Euclid Quick Data Release (Q1): VIS processing and data products

McCracken, H. J., Benson, K., Dolding, C., Flanet, T., Grenet, C., Herent, O., ... & Martinet, N. (2025). Euclid Quick Data Release (Q1): VIS processing and data products. arXiv preprint arXiv:2503.15303.

The COSMOS-Web Lens Survey (COWLS) II: depth, resolution, and NIR coverage from JWST reveal 17 spectacular lenses

Mahler, G., Nightingale, J. W., Hogg, N. B., Gozaliasl, G., McCleary, J., He, Q., ... & Jin, S. (2025). The COSMOS-Web Lens Survey (COWLS) II: depth, resolution, and NIR coverage from JWST reveal 17 spectacular lenses. arXiv preprint arXiv:2503.08782.

The COSMOS-Web Lens Survey (COWLS) I: Discovery of >100 high redshift strong lenses in contiguous JWST imaging

Nightingale, J., Mahler, G., McCleary, J., He, Q., Hogg, N. B., Amvrosiadis, A., ... & Jin, S. (2025). The COSMOS-Web Lens Survey (COWLS) I: Discovery of> 100 high redshift strong lenses in contiguous JWST imaging. arXiv preprint arXiv:2503.08777.

Measuring the Stellar-to-Halo Mass Relation at ∼10^10 Solar masses, using space-based imaging of galaxy-galaxy strong lenses

Wang, K., Cao, X., Li, R., Nightingale, J. W., He, Q., Amvrosiadis, A., Massey, R., von Wietersheim-Kramsta, M., ... & Ma, X. (2025). Measuring the Stellar-to-Halo Mass Relation at $\sim10^{10} $ Solar masses, using space-based imaging of galaxy-galaxy strong lenses. arXiv preprint arXiv:2501.16139.

KiDS-Legacy: angular galaxy clustering from deep surveys with complex selection effects

Yan, Z., Wright, A. H., Chisari, N. E., Georgiou, C., Joudaki, S., Loureiro, A., ... & Yoon, M. (2024). KiDS-Legacy: angular galaxy clustering from deep surveys with complex selection effects. Astronomy & Astrophysics, 694, A259.

KiDS-Legacy: Covariance validation and the unified OneCovariance framework for projected large-scale structure observables

Reischke, R., Unruh, S., Asgari, M., Dvornik, A., Hildebrandt, H., Joachimi, B., ... & Tröster, T. (2024). KiDS-Legacy: Covariance validation and the unified OneCovariance framework for projected large-scale structure observables. arXiv preprint arXiv:2410.06962.

6x2pt: Forecasting gains from joint weak lensing and galaxy clustering analyses with spectroscopic-photometric galaxy cross-correlations

Johnston, H., Chisari, N. E., Joudaki, S., Reischke, R., Stölzner, B., Loureiro, A., ... & Zhang, Y. H. (2024). 6x2pt: Forecasting gains from joint weak lensing and galaxy clustering analyses with spectroscopic-photometric galaxy cross-correlations. arXiv preprint arXiv:2409.17377.

Euclid. I. Overview of the Euclid mission

Mellier, Y., Barroso, J. A., Achúcarro, A., Adamek, J., Adam, R., Addison, G. E., ... & Bruton, S. (2024). Euclid. I. Overview of the Euclid mission. Astronomy & Astrophysics.

KiDS-SBI: Simulation-Based Inference Analysis of KiDS-1000 Cosmic Shear

von Wietersheim-Kramsta, M., Lin, K., Tessore, N., Joachimi, B., Loureiro, A., Reischke, R., & Wright, A. H. (2024). KiDS-SBI: Simulation-Based Inference Analysis of KiDS-1000 Cosmic Shear. Astronomy & Astrophysics, 694, A223.

A simulation-based inference pipeline for cosmic shear with the Kilo-Degree Survey

Lin, K., von Wietersheim-Kramsta, M., Joachimi, B., & Feeney, S. (2023). A simulation-based inference pipeline for cosmic shear with the Kilo-Degree Survey. Monthly Notices of the Royal Astronomical Society, 524(4), 6167-6180.

GLASS: Generator for Large Scale Structure

Tessore, N., Loureiro, A., Joachimi, B., von Wietersheim-Kramsta, M., & Jeffrey, N. (2023). GLASS: Generator for Large Scale Structure. The Open Journal of Astrophysics, 6, 11.

KiDS-1000: Constraints on the intrinsic alignment of luminous red galaxies

Fortuna, M. C., Hoekstra, H., Johnston, H., Vakili, M., Kannawadi, A., Georgiou, C., ... & Von Wietersheim-Kramsta, M. (2021). KiDS-1000: Constraints on the intrinsic alignment of luminous red galaxies. Astronomy & Astrophysics, 654, A76.

Magnification bias in galaxy surveys with complex sample selection functions

von Wietersheim-Kramsta, M., Joachimi, B., van den Busch, J. L., Heymans, C., Hildebrandt, H., Asgari, M., ... & Wright, A. H. (2021). Magnification bias in galaxy surveys with complex sample selection functions. Monthly Notices of the Royal Astronomical Society, 504(1), 1452-1465.

KiDS-1000 methodology: Modelling and inference for joint weak gravitational lensing and spectroscopic galaxy clustering analysis

Joachimi, B., Lin, C. A., Asgari, M., Tröster, T., Heymans, C., Hildebrandt, H., ... & Zuntz, J. (2021). KiDS-1000 methodology: Modelling and inference for joint weak gravitational lensing and spectroscopic galaxy clustering analysis. Astronomy & Astrophysics, 646, A129.

Dark energy and equivalence principle constraints from astrophysical tests of the stability of the fine-structure constant

Martins, C. J. A. P., Pinho, A. M. M., Alves, R. F. C., Pino, M., Rocha, C. I. S. A., & von Wietersheim, M. (2015). Dark energy and equivalence principle constraints from astrophysical tests of the stability of the fine-structure constant. Journal of Cosmology and Astroparticle Physics, 2015(08), 047.