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Radformation
Data Scientist
June 26, 2026 – Present
aapm-open-source-webinar
May 19, 2024 – June 26, 2024
Resources from presentation of auto-segmentation tools at the AAPM open-source webinar, June 2024.
View Projectscientific-method-app
January 17, 2023 – July 12, 2023
scientific-method-app — GitHub repository
View Projectingham-medphys-coding
September 11, 2020 – September 28, 2021
Coding challenge from the Ingham Medical Physics Group
View Projectcomp_plan
April 25, 2020 – October 20, 2021
Calculate a wide range of radiobiological metrics from excel DVH files
View ProjectDVH_from_dicomRT
April 25, 2020 – August 5, 2021
Simple GUI to batch create DVHs from multiple dicom-RT dose files and a single Dicom-RT contour file
View ProjectNiftiLoaderSlicerExtension
September 30, 2019 – September 30, 2019
A simple Slicer extension to assist with reading in structure masks in Nifti format.
View Projectpymedphys
January 29, 2019 – Present
A community effort to develop an open standard library for Medical Physics in Python. Building quality transparent software together via peer review and open source distribution. Open code is better science.
View ProjectCultural Fit Analysis
The candidate's project history shows a strong focus on medical physics and scientific computing, which aligns well with a data scientist role in a specialized domain. Participation in open-source initiatives like 'pymedphys' indicates a collaborative mindset and a willingness to contribute to a community. The diversity of projects, while focused, demonstrates a breadth of application within their niche. However, the candidate's experience level is listed as 0, and the current role start date is in the future (2026), which makes it difficult to assess real-world professional cultural fit beyond personal projects.
Soft Skills & Operational Fit
The candidate's involvement in open-source projects suggests collaboration and problem-solving skills. The descriptions of personal projects indicate a proactive and self-driven individual. However, without specific assessment data, a detailed analysis of soft skills and operational fit is limited.