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Daniel Abdulah

Dan is a PhD student, who recently began working with Prof. de Wit. His first project will explore how transmission spectra from exoplanetary atmospheres can inform us of their composition, surface pressure, and temperature. Leveraging his experience with general circulation models, he will use ExoCAM to generate a dataset of planets on which to train a neural network to translate spectra to climate. This work is especially important to improve our interpretation of an incoming wave of data from the James Webb Space Telescope (JWST) and the Extremely Large Telescopes (ELTs). Outside of research, Dan enjoys distance running, martial arts, and educational outreach.

PhD Student

Contact Information:


Office: 77 Massachusetts Ave, 54-1419, Cambridge, MA 02139

Featured Research Figures


Figure 1.
The temperature tendency field for a full aquatic finite volume exoplanet modeled with ExoCAM. This is the first figure I generated as part of the group. The next step will be to configure the model to monitor spectral data and generate output that the neural network will be able to learn from down the line.

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