CV

Education

PhD in Astrophysics, Sorbonne Université / Institut d’Astrophysique de Paris, 2019–2022
- Thesis: Magnifying the galaxy-halo connection in the Euclid Deep Fields
- Funded by École Doctorale 127 & CNES fellowship
Master of Physics – Astrophysics, Aix-Marseille University, 2017–2019
- GPA: 16.4/20 — AMIDEX scholarship recipient
BSc in Theoretical Physics, Faculty of Natural Sciences and Mathematics, Skopje, North Macedonia, 2013–2017
- GPA: 8.67/10

Postdoctoral Researcher / Assistant Professor, Dec 2022 – present
- Cosmic DAWN Center, Niels Bohr Institute, University of Copenhagen
- Lead developer of photometry and morphology pipeline for the COSMOS-Web JWST survey (JWST, HST, Subaru/HSC, VISTA, CFHT)
- Running LePHARE SED-fitting on ~5 million galaxies over ~20 deg² in the Euclid Deep Field North (H20/Cosmic Dawn Survey)
- Developed and maintain Python packages for UV luminosity function and halo occupation distribution modelling (halogal/uvlf-hod) with MCMC fitting and community documentation
- Built batch-processing pipelines for 700k+ source catalogs; PSFEx PSF modelling across multiple photometric bands (Euclid, HSC, CFHT, Spitzer)
- Active member of Euclid, COSMOS-Web, FRESCO, and Cosmic Dawn Survey collaborations
- Co-investigator on Roman Space Telescope Cycle 1 proposals
PhD Researcher, Sep 2019 – Nov 2022
- Institut d’Astrophysique de Paris, Sorbonne Université
- Developed original source extraction and multi-band photometric catalog methodology for wide-field imaging surveys
- Implemented weak gravitational lensing magnification measurements using two-point cross-correlation functions
- Built MCMC fitting framework for stellar-to-halo mass relation inference
- Teaching assistant at Université de Paris: Mathematics, Physics and Data Analysis (64 h)

Languages: Python (expert), C, Fortran, Bash, HTML
Data pipelines: End-to-end galaxy catalog production, astronomical image analysis, source extraction
Scientific software: SExtractor, SourceXtractor++, PSFEx, GalSim, LePHARE, CIGALE, eazy, Bagpipes, SWarp, grizli
Statistics & ML: Bayesian inference, MCMC, covariance estimation, halo occupation distribution modelling, ANN/CNN for photometric redshifts
HPC: Computer clusters, MPI, OpenMP, parallelised large-scale batch processing (700k+ source catalogs)
Open source: Author and maintainer of halogal Python package; public data releases with Python notebook tutorials on GitHub

halogal: Python package for generating model predictions and fitting observables (UVLF, SMF, SFRD, SMD, 2-point correlation functions, stellar-to-halo mass relation). github.com/mShuntov/uvlf-hod
COSMOS2025 galaxy catalog: Photometry, morphology, redshifts, and physical parameters from JWST, HST, and ground-based imaging. cosmos2025.iap.fr
DAWN JWST Archive – Morphologies: SourceXtractor++ morphological catalogs for 300,000+ galaxies across all major public JWST surveys. dawn-cph.github.io/dja
COSMOS-Web SMF: Stellar mass function measurements with Python notebook tutorials. github.com/mShuntov/SMF_in_COSMOS-Web_Shuntov2024
COSMOS2020 SHMR: Stellar-to-halo mass measurements from COSMOS2020. github.com/mShuntov/SHMR_COSMOS2020