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Atomic Astrophysics PhD student - specifically Kilonovae, atomic data and modelling - at Queen's University Belfast. lmulholland25@qub.ac.uk
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Queen's University Belfast
Software Engineer
June 27, 2026 – Present
CRASHE
June 19, 2026 – Present
CRASHE - Collisional Radiative modelling for AStrophysics with Homologous Expansion. Fortran CRM for large scans of temperature, density, and element mass space. Sobolev opacity included. Includes sub programs for model convergence testing and spectral synthesis.
View ProjectDARCTools
March 12, 2026 – Present
Utility codes for the DARC R-matrix codes and streamlining data production.
View ProjectautostructureLevelReader
February 27, 2026 – Present
autostructureLevelReader — GitHub repository
View ProjectdamageRollDist
December 24, 2025 – December 24, 2025
Distribution of damage rolls for DnD decision making.
View Projectadasre
October 14, 2025 – Present
adasre - post-processor for resonant excitation calculations by the autostructure code of Nigel Badnell.
View Projectgrasp2018Toolbox
September 18, 2025 – September 18, 2025
A collection of tools for me using https://github.com/compas/grasp and tools within. (Particularly jj2lsj, for which I also have a code maintained at https://github.com/LeoMul/grasp2018LSTable).
View ProjectColRadLumo
May 20, 2024 – Present
Uses the ColRadPy code of C. A. Johnson (2019) to calculate luminosities. Credit to ColRadPy: https://github.com/johnson-c/ColRadPy
View ProjectTDSE
October 31, 2022 – February 2, 2023
Solves Time-Dependent Schroedinger equation (1 and 2 dimensions) via FFT or CN.
View ProjectCultural Fit Analysis
The candidate's projects are heavily focused on scientific computing and astrophysics, which may indicate a strong preference for research-oriented environments. While this demonstrates deep technical interest, the diversity of projects for a general 'Software Engineer' role is limited. The single professional experience listed is also academic. This suggests a potential fit for roles requiring strong analytical and scientific programming skills, but less so for broader enterprise software development without further evidence.
Soft Skills & Operational Fit
The provided data is insufficient to assess soft skills or operational fit. The candidate's experience is primarily in academic/research-oriented personal projects, with limited information on collaborative work or professional communication.