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Computational materials scientist specializing in phase field modeling, high-performance computing, and additive manufacturing
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
ORNL)
Data Scientist
June 25, 2026 – Present
ramen
March 13, 2024 – February 17, 2025
A Python library for inexpensive analytic and semi-analytic models for process-structure-property calculations for alloys.
View Projectmist
March 13, 2024 – August 23, 2024
Mist is a Python tool for storing, sharing, and using information about materials in models and simulations.
View ProjectThermo4PFM
February 15, 2021 – August 8, 2025
Library to evaluate alloy compositions in Phase-Field models
View Projectstep-48-gpu
February 5, 2019 – March 1, 2019
A gpu version of the step-48 deal.II tutorial problem
View Projectadamantine
June 30, 2016 – Present
Software to simulate heat transfer for additive manufacturing
View ProjectCultural Fit Analysis
The candidate's projects are heavily focused on scientific computing, materials science, and simulation, which aligns with a research-oriented or specialized data science role. However, the lack of diversity in project domains (e.g., business analytics, machine learning applications outside of scientific modeling, big data platforms) suggests a potentially narrow cultural fit for broader data scientist roles that require diverse industry experience or a wider range of data science methodologies. The current role as 'Data Scientist' at ORNL suggests a strong alignment with scientific data applications.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.