My current research interests include a variety of star formation topics. See Research Interests for more details.
The role of different physics in star formation (e.g. radiation, magnetic fields)
The impact of stellar feedback (outflows, winds, radiation, cosmic rays) on molecular clouds
Astrostatistics (e.g. Turbustat)
Machine learning used in image recognition and classification (e.g., Brut and CASI)
Astrochemistry and the impact of radiation and cosmic-ray stellar feedback
Improving the connection between simulations and observations through synthetic observations
What sets the masses of stars?
What determines whether a star is single or has a companion?
What is the role of stellar feedback?
What are the chemical and statistical signatures of forming stars?
How can we efficiently and accurately automate molecular line and dust emission data analysis?
How can we use machine learning/AI to effectively analyze astronomy data?
Students: If you are interested in any of these questions, please contact me!