
I earned my PhD in Astronomy in 2008, studying the properties of dark matter halos in cosmological simulations such as the Millennium simulation.
Since then, I’ve contributed to large-scale astronomical projects, Dark Energy Survey (DES) and the Vera C. Rubin Observatory.
At DES, I worked on multiple initiatives, notably Quick Reduce, a system for real-time image quality monitoring for the Dark Energy Camera, and the generation of science-ready catalogs for public data releases.
In 2015, I moved to Tucson, AZ, to join the Rubin Observatory’s Data Management team. Rubin is building a revolutionary wide-field optical telescope to carry out the Legacy Survey of Space and Time (LSST), which will observe the southern sky over ten years starting in 2025. The LSST will generate ~500 petabytes of imaging data and produce real-time alerts for transient and variable objects nightly.
My primary project at Rubin is Sasquatch, a system for recording, visualizing, and alerting on the observatory’s engineering data. Sasquatch leverages InfluxDB for efficient time-series storage and analytics and Apache Kafka for streaming data to InfluxDB and our data facility at SLAC.