Chesapeake Machine Learning and Astronomy
An astrophysics and ML research group based out of Baltimore, Maryland.
The Chesapeake ML-Astro group is a research collaboration at Space Telescope Science Institute (STScI) and Johns Hopkins University (JHU). Our group maintains diverse scientific interests spanning galaxy clusters, large scale structures, and galaxy systems. We also focus on developing and applying novel machine learning methods to both simulated and observed data sets; check out our research page. Our weekly group meetings are on Fridays.
Current Group Members
- PI Michelle Ntampaka
- Associate Astronomer, STScI
- Associate Research Scientist, JHU
- PI John F Wu
- Assistant Astronomer, STScI
- Associate Research Scientist, JHU
- John Soltis
- 5th year PhD candidate, JHU
- Mikaeel Yunus
- 2nd year graduate student, JHU
Announcements
| 2024-02-12 | The paper "How the Galaxy-Halo Connection Depends on Large-Scale Environment" led by John Wu is now posted to arXiv! |
| 2023-10-19 | The paper "Constructing Impactful Machine Learning Research for Astronomy: Best Practices for Researchers and Reviewers" co-led by Michelle Ntampaka can now be read on arXiv! |
| 2023-08-30 | Looking for a JHU research rotation project? Please reach out to the PIs of the group! |
| 2023-08-17 | Hello world! |