Graduate Research Assistant
- Developed a new linear regression-based modeling scheme for recovering un-distorted "3D images" of gravitationally-lensed galaxies, improving results with low-quality data. Investigated the performance of this new method with both real and simulated data.- Developed a flexible, extensible, and maintainable object-oriented Python software package to run a custom statistical analysis pipeline.- Processed large volumes of raw telescope data to measure galaxy properties as a core member of an international team.- Created ETL process in an unfamiliar language for a previously-tedious manual data processing workflow that resulted in a many-fold speedup.- Mentored 5 undergraduate students with minimal prior experience. Taught them science and programming concepts to complete their projects, resulting in successful presentations of their research to program leaders.
