research faculty at Carnegie Mellon MSE, editor at JOSS
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
julia-introduction
November 25, 2024 – Present
Introduction to Julia - from https://github.com/JuliaMolSim/MolSSI_workshop - under construction!
View Projectaimd_molly
July 20, 2023 – July 22, 2023
Mocking up doing AIMD in Molly.jl using DFTK.jl for forces...
View Project27100_demos
December 21, 2022 – July 28, 2023
Computational demos developed for CMU course 27-100: Engineering the Materials of the Future
View ProjectAtomsBase.jl
September 3, 2021 – Present
A Julian abstract interface for atomic structures.
View ProjectJuliaMolSim.github.io
July 14, 2021 – December 1, 2025
The website of the JuliaMolSim organisation
View ProjectAtomicGraphNets.jl
April 1, 2020 – November 16, 2022
Atomic graph models for molecules and crystals in Julia
View ProjectKurchin_CV
December 27, 2019 – June 14, 2022
LaTeX/Python code for maintaining my CV; integrates with website code (see rkurchin.github.io repo)
View Projectdeltapv
May 20, 2019 – September 28, 2025
A photovoltaic simulator with automatic differentiation
View ProjectCultural Fit Analysis
The candidate's projects are exclusively personal and highly specialized in scientific computing and materials science. While demonstrating deep technical interest, there is no evidence of team collaboration, diverse project types, or experience in a typical corporate data science environment. This suggests a potential mismatch with broader industry cultural expectations for a Data Scientist role, which often involves cross-functional collaboration and business-oriented problem-solving.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's profile primarily showcases technical project work without details on collaboration, problem-solving approaches, or communication in a team setting.