T. Lucas Makinen

prof_pic.jpg

B0.30 DAMTP

University of Cambridge

Wilberforce Rd, Cambridge CB3 0WA

United Kingdom

Hi I’m Lucas. I’m a Physics-AI Fellow in the Department of Applied Mathematics and Theoretical Physics at the University of Cambridge studying cosmology, AI, and statistics. My research combines deep learning, information theory, and astrophysics to accelerate understanding of our universe’s origins.

Outside of science, I’m a jazz and classical trumpet player.

latest posts

Sep 12, 2022 Cosmic Graphs: the Language of Large-Scale Structure

selected publications

2024

  1. hybrid_wl.png
    Hybrid summary statistics: neural weak lensing inference beyond the power spectrum
    T. Lucas Makinen, Alan Heavens, Natalia Porqueres, and 3 more authors
    2024

2022

  1. cosmograph.gif
    The Cosmic Graph: Optimal Information Extraction from Large-Scale Structure using Catalogues
    T. Lucas Makinen, Tom Charnock, Pablo Lemos, and 3 more authors
    The Open Journal of Astrophysics, Dec 2022

2021

  1. lossless_preview.png
    Lossless, scalable implicit likelihood inference for cosmological fields
    T. Lucas Makinen, Tom Charnock, Justin Alsing, and 1 more author
    Journal of Cosmology and Astroparticle Physics, Nov 2021
  2. deep21.gif
    deep21: a deep learning method for 21 cm foreground removal
    T. Lucas Makinen, Lachlan Lancaster, Francisco Villaescusa-Navarro, and 4 more authors
    Journal of Cosmology and Astroparticle Physics, Apr 2021