Nirvana
Nirvana is a nonparametric Bayesian forward modeling package for fitting bisymmetric disturbances in galaxy kinematics. It also includes a catalog of 1000+ kinematic models of barred galaxies from the MaNGA survey.
Learn more
I teach physics and astronomy at all levels at Swarthmore College, focusing on active learning, interdisciplinary connections, and student participation. My research models irregularities in galaxy rotation using Bayesian techniques, and I have mentored undergraduates as they have learned the basics of astrophysics research. I also publish on teaching, with my articles appearing in the American Journal of Physics in 2026, and The Physics Teacher.
Nirvana is a nonparametric Bayesian forward modeling package for fitting bisymmetric disturbances in galaxy kinematics. It also includes a catalog of 1000+ kinematic models of barred galaxies from the MaNGA survey.
Learn more
Kinematic information is affected differently by weak lensing shear compared to photometric information. By modeling both the shear on the velocity field and the discrepancy between kinematics and photometry, we can significantly increase lensing information per galaxy.
Learn more
I teach introductory physics and astronomy for majors and nonmajors as well as upper-level electives, built around active learning, Universal Design, and hands-on practice. I also publish peer-reviewed work on physics pedagogy.
Learn more
I design research projects that undergraduates can carry from start to finish in a year or two. Four students have worked with me so far at Colby and Swarthmore, on bar kinematics, stellar populations, and the Tully-Fisher relation.
Learn more
I run observatory public nights, taught Python and data science to summer REU students, and led UC Observatories' "Ask an Astronomer" team for five years.
Learn more
Refereed papers in The Astrophysical Journal, the American Journal of Physics, and The Physics Teacher, plus work in preparation and a list of recent talks.
Learn more