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Fictional UQ Template

Dr. Evelyn Marshall

Investigating exoplanet atmospheres with JWST spectroscopy, Bayesian retrieval, and machine-learning pipelines for next-generation discovery.

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About

I am a fictional template persona designed for Queensland astrophysics students. My mock research program focuses on atmospheric characterization of temperate exoplanets using high-resolution spectroscopy and probabilistic inference.

This starter profile mirrors common UQ PhD and postdoctoral pathways, combining telescope observations, open-source analysis tooling, and collaborative survey science.

Research Interests

Selected fictional research themes inspired by UQ astrophysics and PhD projects.

JWST Atmospheric Retrieval

Inverse modeling of near-infrared transit spectra to estimate molecular abundances, cloud structure, and thermal gradients in temperate exoplanets.

Machine Learning Transit Vetting

Building neural and hybrid Bayesian classifiers to prioritize exoplanet candidates from TESS light curves and reduce false positives.

Habitable Zone Population Modeling

Population-level Bayesian inference for estimating biosignature-detectable worlds across nearby stellar catalogs and survey archives.

Selected Publications

Fictional citation-style examples for astrophysics student portfolio templates.

Featured

Bayesian Atmospheric Retrieval of WASP-96b from JWST/NIRSpec

Marshall, E., Williams, S. (2024). Nature Astronomy, 8(2), 118–135.

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Unsupervised Classification of Anomalous Transit Light Curves

Marshall, E., Gupta, J., et al. (2024). The Astrophysical Journal, 971(1), 44–67.

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Recent

Wavelength-Indexed Gaussian Processes for Precision Radial Velocity

Marshall, E., Tuomi, M. (2023). Astronomy & Astrophysics, 676, A109.

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Population-Level Constraints on Biosignature-Detectable Exoplanets

Marshall, E., Rezapoor, A., Williams, S. (2022). The Astrophysical Journal Letters, 941(2), L28.

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Teaching and Mentorship

  • PHYS3401 Astrophysics III - Current
  • PHYS2006 Stellar Physics - Current
  • PHYS4401 Advanced Observational Astronomy - 2023-2024
  • Machine Learning for Astronomy (Graduate Seminar) - 2022-2024

Current Students

  • Jayesh Gupta - Machine-learning vetting of anomalous transit events in TESS light curves
  • Sophie Williams - Bayesian hierarchical uncertainty models for atmospheric retrieval
  • Amir Rezapoor - Habitable-zone population inference using Gaia and JWST archives