• Provided continued maintenance for IDL data pipeline, developing necessary updates and expanding data use capabilities• Oversaw integration of new data into preliminary analysis pipeline, transforming incoming observation images to analytical information.• Identified and closely examined any irregularities in incoming data sets, discarding irreconcilable data or salvaging when possible.• Streamlined data pipeline, eliminating redundancies and simplifying analysis steps.

•Manipulated massive databases with advanced SQL queries, extracting and crossmatching large-parameter catalogs containing billions of stars.•Managed exhaustive exploration and analysis of data in Python, identifying distributions and determining generalizibliity of eventual results.•Employed advanced mathematical and statistical methods in Python analysis including, but not limited to: regression analysis, Monte Carlo simulation, and bootstrap sampling for error propagation.•Produced publishable-quality data visualizations in Python, supplementing mathematical analysis and illustrating data trends.•Proved strong experience in public speaking and professional communication by delivering multiple scientific talks to audiences of varying academic levels, and co-authoring a since-published academic paper for which this work served as the foundation.•Project Outcomes: Worked to circumvent the physical limitations of finding stellar birth-radii in the absence of energy conservation. Compared the implications of multiple galaxy formation scenarios on stellar motions using a data-driven analysis

•Oversaw data retrieval and data set curation through complex SQL queries to big data sets.•Conducted comprehensive exploratory analysis of obtained data in Python; verifying completeness, identifying and remedying quality concerns, and developing informative visualizations of the very high-dimensional parameter space.•Engineered updates to FORTRAN 77 simulation software, enhancing and extending stellar physics simulations to include new domains of stars.•Project Outcomes: Worked to extend existing models of rapid binary evolution and simulate observations to understand the extent of contamination caused by unresolved binary star systems resembling dwarf stars in massive spectroscopic surveys like APOGEE.

•Extensive use of IDL and C++ in design, development, and maintenance of data pipelines for pre-processing and analysis of high-resolution astronomical images and variable-length stellar spectra.•Merged personally engineered processing, transformation, and analysis routines with existing pipelines to improve handling of unusual data and streamline data-cleaning.•Implemented and managed an HTML-based searchable database system for data set visualization and result storage.•Reverse-engineered and ported internal methods of an expert system classifier from C to IDL, customizing for project needs and greatly enhancing the range of usable data for analysis.•Project Outcomes: Worked toward the determination of parallax distances of distant cepheid stars in an attempt to better constrain the errors on the observationally measured Hubble constant to unprecedented precision. Contributed to, at present, 3 publications inThe Astrophysical Journal.