I'm a Flatiron Fellow at the Center for Computational Astrophysics (CCA) in New York City, working on a variety of things related to exoplanets, stars, and astronomical data analysis. I'm interested in systematics de-trending, the search for and characterization of potentially habitable exoplanets, and the mapping of stellar and exoplanetary surfaces from photometric and spectroscopic datasets. Lately I've been particularly interested in questions related to information theory, wondering what exactly we can constrain about astronomical objects from their (unresolved) light curves and spectra. My main focus right now is harnessing the power of ensemble statistics, particularly related to stellar light curves: that is, jointly analyzing large numbers of light curves to infer properties of the population that we're unable to infer from individual members. Most of these projects involve data from the Kepler and TESS missions, although I've been thinking a lot about the upcoming JWST and ground-based extreme-precision radial velocity programs such as the Terra-Hunting Experiment.
I also spend a lot of my time on open-source code development for astronomy. I developed the everest code for systematics de-trending in K2 and the starry light-curve modeling and surface mapping software. I am also a co-developer of the exoplanet modeling framework. Most of my astronomy papers are hosted in full on GitHub, each including detailed code documentation and instructions on how to reproduce the results. All of the figures in my last few publications include embedded links to the exact Python scripts used to generate them, and the main equations are accompanied by links to Jupyter notebooks containing their derivations and/or numerical validations (see, e.g., here).
Outside the office I love to hike, bike, swim, craft lattes, faulty parallelism, and Oxford commas.