
Astrophysicist interested in pulsars, exoplanets, and clustered stellar environments at @WVU-GWaC and @nanograv.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
West Virginia University
Data Scientist
June 27, 2026 – Present
pint_pal
November 16, 2022 – Present
A long-lived repository for NANOGrav Pulsar Timing workflows and analysis.
View ProjectOBSCURE
July 19, 2021 – August 2, 2021
A package using secular techniques to classify the stability and likelihood of exoplanetary systems given orbital configurations. Geared towards observers; currated by computationalists.
View ProjectAMUSExContained
June 10, 2021 – July 13, 2021
Series of recipes that are useful for creating an AMUSE worker on Amazon's AWS system.
View Projectk2-pix
January 7, 2017 – May 18, 2018
Overlay a sky survey image on a K2 target pixel stamp
View ProjectTycho
July 14, 2016 – July 28, 2022
AMUSE community code for observing star-star scattering effects on exoplanets in stellar clusters.
View ProjectLSST_CatGen
May 21, 2015 – July 31, 2015
CatGen is a package of CatSim-based scripts for the lsst_sims package of the LSST v10 Stack. Its primary purpose is to provide users with catalog generating scripts for a variety of object types, though mostly centered on extra-galactic sources.
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and academic in nature, focusing on scientific computing and astronomy. While demonstrating technical skills, the diversity of project types and exposure to different industry contexts is limited. The single professional experience listed as 'Data Scientist' at West Virginia University is current but lacks details on responsibilities or achievements, making it difficult to fully assess alignment with a broader corporate cultural fit. The candidate's experience level is listed as 0, which contradicts the current 'Data Scientist' role, suggesting a potential mismatch in self-assessment or data entry.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are brief, and there are no completed psychometric or English tests to provide insights into communication or work attitude.