Andreas Filipp

Research Interests

My interests lie in Cosmology, Bayesian Inference, Simulation-Based Inference, and Generative Models.
Specifically, I am interested in strong gravitational lensing, dark matter substructure detection, and the application of machine learning techniques in astrophysics.

You can find a full list of my publications on my google scholar page.

Selected Publications

LSST Strong Lensing Systems Dark Matter Sensitivity Analysis with Neural Ratio Estimators

Andreas Filipp, Yashar Hezaveh, Laurence Perreault-Levasseur, Daniel Gilman, and the LSST Dark Energy Science Collaboration

The Astrophysical Journal (ApJ), 2026.

Predicting the Subhalo Mass Functions in Simulations from Galaxy Images

Andreas Filipp, Tri Nguyen, Laurence Perreault-Levasseur, Jonah Rose, Chris Lovell, Nicloas Payot, Francisco Villaescusa-Navarro, and Yashar Hezaveh

ML4Astro, Vancouver, 2025.

Robustness of Neural Ratio and Posterior Estimators to Distributional Shifts for Population-level Dark Matter Analysis in Strong Gravitational Lensing

Andreas Filipp, Yashar Hezaveh, and Laurence Perreault-Levasseur

The Astrophysical Journal (ApJ), 2025.

Caustics: A Python Package for Accelerated Strong Gravitational Lensing Simulations

Connor Stone, Alexandre Adam, Adam Coogan, M. Yantovski-Barth, Andreas Filipp, Landung Setiawan, Cordero Core, Ronan Legin, Charles Wilson, Gabriel Barco, Yashar Hezaveh, and Laurence Perreault-Levasseur

The Journal of Open Source Software (JOSS), 2024.

Simulation-guided galaxy evolution inference: A case study with strong lensing galaxies

Andreas Filipp, Yiping Shu, Rüdiger Pakmor, Sherry H. Suyu, and Xiaosheng Huang

Astronomy & Astrophysics (A&A), 2023.