I'm the Lasker Data
Science Fellow at the Space Telescope
Science Institute! I'm working on a number of different projects,
including machine learning for automated alert classification with LSST on the
ANTARES project, establishing a network of faint fundamental spectrophotometric
standards for future wide-field surveys, and studying exploding stars near and
I also care deeply about public outreach and education.
I'm a former organizer of Astronomy on Tap-Tucson, do podcasts, panels at sci-fi conventions (Robots! Sci-fi space battles! Gustav Holst's Planets suite and more!), work with local STEM clubs, and generally work to get people as excited about science as I am.
The Elevator Pitch
Broadly, my research interests are in cosmology, wide-field UVOIR surveys,
supernovae, and data science (particularly machine learning). Here's a short
summary - you can read more on my research page, and my CV.
I'm working on the ANTARES event broker for LSST - an ambitious project involving astrophysicists, statisticians and computer scientists at the University of Arizona CS Dept. and NOAO. We're working on using machine learning, with novel fast algorithms, and massive relational transaction time databases to characterize LSST's variable and transient alert stream. If it goes bump in the night, we'll let you know what it is (with some confidence interval).
I'm the lead algorithms developer, curate our very large library of variable and transient light curves, work with probably every large public astronomical catalog you can name, help maintain our cluster, and generally translate between the interdisciplinary scientists working on the project. At some point in 2017, the GitHub for all this awesomeness will be public, but until then, hold on!
I also work with several other folks at NOAO and STSci on establishing a network of faint high-precision spectrophotometric standards for LSST. We got 77 orbits with HST, and a lot of ground-based spectroscopy. I developed the WFC3 pipeline for our data, did a lot of the observing, wrote the scheduler for our robotic queue observing, lead our preliminary analysis, and have now branched into developing hierarchical Bayesian models of DA white dwarf atmospheres, and interstellar reddening for inference from our dataset.
I've worked with light curves of type Ia supernovae to measure the equation of state of the dark energy with the ESSENCE project. I've worked on modeling SNIa light curves using low-redshift measurements from the CfA Supernova Group, and other nearby SN search programs. I've been involved in cosmological investigations with variables and explosive transients with Pan-STARRS, particularly if they are SNIa that look funny (odd colors, particularly in the ultraviolet, or rapid declines, quirky spectra...). I've also worked on pipelines for transient searches, HPC codes, larger than the average simulations, and try to observe as much as I can.
If you want to talk about any of this stuff, feel free to contact me via email or GitHub.
Last Updated: Jul 2017
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