I am currently a Data Scientist at High Alpha, helping startups develop their data science pipelines. I primarily hang out with Pattern89 and Zylo.

After earning my PhD in astronomy, I spent several years at the University of Chicago’s Center for Data Intensive Science in the Laboratory for Advanced Computing and worked on several scientific data commons projects with the Open Science Data Cloud. I worked with NASA on OCC Project Matsu to archive, publicly distribute, and build automated analysis pipelines for daily satellite imagery from the Earth Observing-1 mission. I also worked with the Open Commons Consortium (OCC) as a technical lead on the NOAA Big Data Project, prototyping a data digital identifier service to access NEXRAD data independent of its physical location and across cloud platforms.

I then returned to astronomy as a Research Scientist at the University of Washington’s Department of Astronomy as part of the Data Intensive Research in Astrophysics and Cosmology (DIRAC) Institute working in the Large Synoptic Survey Telescope (LSST) Data Management Science Pipelines group. I prototyped the LSST’s alert stream distribution system, which was put into production for the Zwicky Transient Facility Survey.

I have a strong interest in cross-disciplinary scientific data analysis, techniques and tools for ensuring reproducibility in research in the era of increasingly growing datasets, and effective science communication.

In general, I am interested in learning new data analysis tools and applying my analytic background to data-intensive research in any high-impact field awaiting new discoveries. When I’m not in front of the computer, you might find me out for a long run.