Experience

Caltech

• United States
• Research Services
• 700 & Above Employee

• Postdoctoral Researcher in Time Domain Astronomy

  • Sep 2019 - Present

  • Designed and built a service (python) for automatic modeling of the complex response of each telescope in a 63-element interferometric array directly from science data, saving $35000 USD per year in calibration observations. • Developed a parallelized service (python, dask) for imaging and localization of candidate astrophysical signals. Designed and implemented image-based reference frame corrections, reducing localization errors by a factor of 2.• Contributed to the design of the software system for real-time and autonomous analysis of a 6 TB/s data stream.• Standardized software environments across servers; designed and implemented updated policy for data storage and sharing between servers.As the Systems Scientist for the DSA-110 instrument at Owens Valley Radio Observatory:• Directed a 6-person team in commissioning hardware and software systems for a 63-radio telescope array and mobilized the effort to transition from proof-of-concept to full science capabilities.• Defined key subsystem performance metrics and coordinated the implementation of continuous monitoring of these metrics, improving detection power by more than 60%.



University of Toronto

• Canada
• Higher Education
• 700 & Above Employee

• Graduate Researcher

  • Sep 2015 - Sep 2019

  • Devised, implemented, and published the first algorithm for 3-dimensional imaging of small-scale Galactic structures using their effects on astrophysical signals.• Developed predictive models from intricate physical theories. Collected, analyzed, and modelled time-series radio-wave measurements from a global interferometric array of telescopes to test these theories.• Mentored undergraduate and graduate students in data analysis, inference, and scientific research.

• Graduate Researcher

  • Sep 2014 - Aug 2015

  • Integrated analytic models for fast-moving particles into large, parallelized N-body simulations, allowing the simulations to run with much coarser time steps.



Queen's University

• Canada
• Higher Education
• 700 & Above Employee

• Undergraduate Researcher

  • May 2012 - Aug 2014

  • Collected and homogenized the largest compilation of velocity and image data for the M31 galaxy.• Employed Bayesian techniques to generate the most comprehensive model of the M31 galaxy.• Awarded a prize for presenting my research at the Canadian Undergraduate Physics Conference. • Collected and homogenized the largest compilation of velocity and image data for the M31 galaxy.• Employed Bayesian techniques to generate the most comprehensive model of the M31 galaxy.• Awarded a prize for presenting my research at the Canadian Undergraduate Physics Conference.



University of Toronto

• Canada
• Higher Education
• 700 & Above Employee

• Undergraduate Researcher

  • May 2013 - Sep 2013

  • Integrated the reduction and analysis pipeline (python) for astronomical images with a web-based API (django), allowing domain experts to monitor the pipeline and manually add quality control flags. • Integrated the reduction and analysis pipeline (python) for astronomical images with a web-based API (django), allowing domain experts to monitor the pipeline and manually add quality control flags.