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I am currently a Scientist at LANL and developer for the PyCBC toolkit for gravitational-wave analyses
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Los Alamos National Laboratory
Data Scientist
June 25, 2026 – Present
PyCBCInferenceWorkshopMay2019
March 18, 2019 – June 2, 2020
Repository for the PyCBC Inference workshop in Portsmouth, UK, 14 May - 16 May 2019.
View Projecto2-bbh-pe
November 19, 2018 – April 26, 2019
Data Release of posterior samples from PyCBC Inference analysis of the binary black-hole signals GW170104, GW170608 and GW170814 in Advanced LIGO-Virgo's second observing run. This repository also includes configuration files and run scripts to run the analyses.
View Projectpycbc-inference-paper
July 10, 2018 – December 7, 2018
Data Release associated with the PyCBC Inference paper. This includes posterior samples for GW150914, LVT151012, and GW151226 along with configuration files and run scripts,
View Projectgw170817-inclination-angle
April 10, 2018 – July 10, 2018
Measuring the viewing angle of GW170817 with electromagnetic and gravitational waves
View Projectcinema_debye_scherrer
February 12, 2018 – June 22, 2023
An interactive web-based tool to visualize multiple datasets
View ProjectCultural Fit Analysis
The candidate's projects are heavily focused on scientific research and data analysis, particularly in physics/astronomy. This aligns well with roles requiring deep analytical skills and a research-oriented mindset. The diversity of tools (Python, C++, JavaScript, Shell, Docker) suggests adaptability. However, the projects are all personal, and there is only one current professional role listed, which limits the insight into collaborative work environments or broader industry applications. The target role 'Data Scientist' aligns well with the demonstrated technical skills.
Soft Skills & Operational Fit
The provided data does not contain sufficient information to assess soft skills or operational fit. The psychometric test score is 0, indicating no assessment was completed.