Hello, I am Micah and I research AI in astrophysics.
I am interested in robustness, representation learning, multimodal learning, language modelling in science, self-supervised learning, equivariance, and explainability. I think a lot about about data manifolds, symmetries, and priors. Feel free to reach out!
You can find lists of my publications in various stages of up-to-date-ness in the following places (with decreasing likelihood to be up to date): Google Scholar, my CV (resume), my publications page.
I will be submitting my PhD from the University of Manchester supervised by Prof. Anna Scaife by September of 2024.
See my research page for an outdated, non-technical, and non-exhaustive outline of some of my previous research areas. My most recent work on language in radio astronomy also had a press release which outlines the core ideas for a non-specialist audience.
All of my work is technically reproducible - take a look at my GitHub profile.
SKAO-JBCA ML Club
I chair a monthly machine learning club in partnership with colleagues the SKAO. Our goals are to:
- Build a community of researchers who are willing and able to support one another,
- Disseminate the scientific value of ML to our community,
- Discuss ML tools and their potential applications.
For previous ML Club sessions notes, please see: ML Club’s website.