cv
Basics
| Name | Andreas Tersenov |
| Label | PhD Candidate in Cosmology |
| atersenov@physics.uoc.gr | |
| Phone | (30) 6945775095 |
| Url | https://andreastersenov.github.io/ |
| Summary | PhD candidate focused on weak lensing, mass mapping, simulation-based inference, and higher-order statistics. Member of the Euclid and UNIONS collaborations. Experienced in computational cosmology, statistical modeling, and machine learning. |
Work
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2023.08 - Present PhD Fellow
IA & ICS-FORTH / CosmoStat Laboratory, CEA Paris-Saclay
Working on weak lensing mass mapping, higher-order statistics, simulation-based inference, and AI in Cosmology.
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2023.01 - 2023.07 Research Intern
CosmoStat Laboratory, CEA Paris-Saclay
Worked on analyzing shear data, weak lensing mass mapping, and cosmological inference for the UNIONS survey.
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2021.01 - 2022.12 Research Assistant
Crete Center for Theoretical Physics
Investigated holographic RG flows in Einstein-Maxwell-dilaton gravity on deformed S³ geometries under the AdS/CFT correspondence.
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2020.02 - 2023.06 Research Assistant
Institute of Astrophysics, FORTH
Worked on UHE cosmic rays in the CIRCE project. Simulated air showers and tested new physics scenarios using CORSIKA.
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2019.06 - 2019.08 Research Intern
MISIS, Laboratory of Superconducting Metamaterials
Cryogenic experiments on fluxonium qubits, polaritonics, and metasurface modeling.
Education
Volunteer
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2025.11 - 2025.11 -
2025.06 - 2025.06 -
2024.09 - 2025.01 Teaching Assistant
Co-taught the class lectures & the revision sessions, prepared and marked assignments
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2024.07 - 2024.07 -
2020 - 2022
Publications
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2025.01.12 Impact of weak-lensing mass-mapping algorithms on cosmology inference
Astronomy & Astrophysics
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2025 Euclid preparation: Towards a DR1 application of higher-order weak lensing statistics
arXiv preprint arXiv:2510.04953
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2024 Cosmic-ray air-shower simulations across the ankle: Combining mixed Galactic composition with new physics above 50 TeV
38th International Cosmic Ray Conference, 2024 (p. 495)
Skills
| Scientific Computing | |
| Python | |
| JAX | |
| PyTorch | |
| NumPyro | |
| GPyTorch | |
| SLURM | |
| Git | |
| Linux |
| Cosmology & Statistics | |
| Simulation-Based Inference | |
| Bayesian Statistics | |
| Weak Lensing | |
| Mass Mapping | |
| Higher-Order Statistics | |
| Deep Learning |
Languages
| English | |
| Fluent (C2) |
| Russian | |
| Fluent (B2) |
| Greek | |
| Native speaker |
Interests
| Cosmology & Machine Learning | |
| Computational cosmology | |
| Statistical inference | |
| Probabilistic modeling | |
| Simulation-based inference | |
| Generative models | |
| Mass mapping | |
| Higher-order statistics |
References
| Dr. Jean-Luc Starck | |
| PhD supervisor |
| Dr. Martin Kilbinger | |
| PhD co-supervisor |