PL
Pablo Lemos
Mila - Quebec Artificial Intelligence Institute, Université de Montréal, University of Cambridge, University of Chicago, University of Sussex, Universidad Complutense de Madrid
Research areas: Physics and Astronomy · Astronomy and Astrophysics · Cosmology and Gravitation Theories · Galaxies: Formation, Evolution, Phenomena · Dark Matter and Cosmic Phenomena
0000-0002-4728-8473
Employment
- 2022 - Present
-
Université de Montréal Research Scientist2022 - Present
-
University of Sussex Postdoctoral Research Fellow in Cosmology2021 - 2022
-
University College London Postdoctoral Research Fellow2018 - 2021
Education
- 2015 - 2018
-
University of Chicago Master of Science in the Physical Science Division2013 - 2015
- 2009 - 2013
Projects & Funding
Projects & funding information is unavailable.
Publications (73)
- On improving experimental binding affinity predictions with synthetic data Save
- SAIR: Enabling Deep Learning for Protein-Ligand Interactions with a Synthetic Structural Dataset Save
- Causal Discovery in Astrophysics: Unraveling Supermassive Black Hole and Galaxy Coevolution Save
- Field-level simulation-based inference of galaxy clustering with convolutional neural networks Save
- Interpretable Machine Learning for Finding Intermediate-mass Black Holes Save
- The Cosmic Microwave Background and $$H_0$$ Save
- Dark Energy Survey Year 3 results: redshift calibration of the MagLim lens sample from the combination of SOMPZ and clustering and its impact on cosmology Save
- A forward modeling approach to analyzing galaxy clustering with S Save
- Marginal post-processing of Bayesian inference products with normalizing flows and kernel density estimators Save
- Rediscovering orbital mechanics with machine learning Save
- Posterior sampling of the initial conditions of the universe from non-linear large scale structures using score-based generative models Save
- Cosmological Information in the Marked Power Spectrum of the Galaxy Field Save
- The Dark Energy Survey Year 3 and eBOSS: constraining galaxy intrinsic alignments across luminosity and colour space Save
- Dark Energy Survey Year 3 results: magnification modelling and impact on cosmological constraints from galaxy clustering and galaxy–galaxy lensing Save
- CMB constraints on the early Universe independent of late-time cosmology Save
- SimBIG: mock challenge for a forward modeling approach to galaxy clustering Save
- Dark Energy Survey Year 3 results: Constraints on extensions to ΛCDM with weak lensing and galaxy clustering Save
- Robust sampling for weak lensing and clustering analyses with the Dark Energy Survey Save
- Robust simulation-based inference in cosmology with Bayesian neural networks Save
- Joint analysis of Dark Energy Survey Year 3 data and CMB lensing from SPT and Planck. I. Construction of CMB lensing maps and modeling choices Save