Help & Supportcareers@gravityer.com
Dr. Michael Fitzsimmons is a Distinguished R&D staff member at Oak Ridge National Laboratory and Professor of Physics at the University of Tennessee, Knoxville.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
University of Tennesse and Oak Ridge National Laboratory
Data Scientist
June 29, 2026 – Present
Fit-a-polynomial-to-data
December 19, 2022 – December 19, 2022
Simple fit of a polynomial to data
View ProjectPolarization-and-Flipper-Efficiencies
December 3, 2022 – December 3, 2022
Polarization-and-Flipper-Efficiencies — GitHub repository
View ProjectPhotonis-camera-test
October 20, 2022 – October 20, 2022
Photonis-camera-test — GitHub repository
View ProjectLiquid-He-Reference
October 11, 2022 – October 11, 2022
Liquid-He-Reference — GitHub repository
View ProjectObserving-Flow-with-He-II
September 5, 2022 – September 5, 2022
repository for code and link to data
View ProjectFieldDisplacedSFscattering
February 18, 2022 – February 19, 2022
A jupyter notebook to calculate an image of the polarized neutron reflectivity including non-spin-flip and spin-flip components from a simulated profile
View ProjectAutocorrelationAnalysis
October 12, 2020 – October 12, 2020
AutocorrelationAnalysis — GitHub repository
View ProjectCW_approach_to_tof_reduction
October 8, 2020 – October 8, 2020
CW_approach_to_tof_reduction — GitHub repository
View ProjectBL4A_MagRef_Data_Reduction_Tools
July 31, 2020 – December 21, 2022
Tools to perform data reduction of time-of-flight data taken on BL4A (MagRef)—a Jupyter notebook approach
View ProjectCultural Fit Analysis
The candidate's projects are heavily focused on scientific research and data analysis, primarily within physics/materials science domains. This aligns well with roles requiring strong analytical skills and experience with scientific datasets. The current role as a Data Scientist further supports cultural fit for data-intensive environments. However, the diversity of projects outside of scientific research is limited, which might indicate a narrower scope of experience in broader industry applications of data science.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.