About me

I am a tenure-track Associate Astronomer at STScI, and hold the title of Data Science Mission Office (DSMO) Applied AI Scientist. I am also an Associate Research Scientist in JHU Center for Astrophysical Sciences and the JHU Department of Computer Science. In 2024, I was named the Maryland Outstanding Young Scientist.

My research focuses on studying galaxies with multi-wavelength observations, machine learning, and interpretable artificial intelligence (AI) for scientific discovery. I am particularly interested in using graph neural networks (GNNs) to represent galaxies and their large-scale surroundings, and using interpretable convolutional neural networks (CNNs) to encode the connection between galaxy appearances and their physical properties. I co-lead the Chesapeake ML-Astro research group and am a member of the ISM*@ST group.

I regularly give talks and colloquia on topics like:

• Astronomy Re-envisioned, MIT Kavli Institute Astronomy Colloquium (video)
• Connecting galaxy morphology and astrophysics using interpretable AI, NASA Galaxies SIG (video)
• Evaluating LLMs in Astronomy Research, JSALT 2024 Final Presentation (video)
• Distilling physics from astronomical imaging, KITP Galevo23 Conference (video)

I also maintain a blog where I post on topics like:

• Learning with LLMs
• GNNs in astrophysics
• Foundation models in astronomy
• Two years in the tenure track

Contact

Feel free to shoot me an email or view a copy of my curriculum vitae.