Beatriz Campos Estrada, PhD

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I am a Postdoctoral Researcher in the Atmospheric Physics of Exoplanets (APEx) department at the Max Planck Institute for Astronomy in Heidelberg, where I am part of the atmospheric modelling and retrievals group. I focus on connecting theory to observations of exoplanets via different modelling techniques.


Currently, I am developing and validating a retrieval framework for variable brown dwarfs and directly imaged planets. This framework is tested on GCM simulations, from which I generate synthetic observations to assess how accurately key atmospheric parameters can be retrieved from current data, including insights into the origin of atmospheric variability.

In addition to this, my experience includes testing atmospheric escape models for sub-Neptunes, constraining the compositions of small exoplanets, and atmospheric forward modelling of directly imaged planets and brown dwarfs with complex cloud formation.

I hold a joint PhD in Astrophysics from the University of Copenhagen (Denmark) and the Graz University of Technology (Austria), completed in October 2024 as part of the CHAMELEON Marie-Curie innovative training network.

If you’re interested in collaborating or have GCM simulations you’d like to share for testing the retrieval framework, I’d love to hear from you!

For more details, please see my CV.
You can find my PhD thesis here: From dusty tails to cloudy skies.

You can reach me at becampos@mpia.de or simply by clicking the mail icon below or in the top left.

selected publications

  1. The MSG model for cloudy sub-stellar atmospheres: A grid of self-consistent sub-stellar atmosphere models with microphysical cloud formation
    Beatriz Campos Estrada, David A. Lewis, Christiane Helling, Richard A. Booth, Francisco Ardévol Martı́nez, and 1 more author
    A&A, Feb 2025
  2. On the likely magnesium-iron silicate dusty tails of catastrophically evaporating rocky planets
    Beatriz Campos Estrada, James E. Owen, Marija R. Jankovic, Anna Wilson, and Christiane Helling
    MNRAS, Feb 2024