Computational Scientist
CV
Computational scientist with a PhD from the University of Iceland, working across computational microscopy, numerical modelling and optimisation, atomic-resolution image analysis, and reproducible scientific computing.
Professional summary
My work combines physical modelling, numerical optimisation, image and data analysis, and scientific software developed to support reproducible computational research.
Experience
- 2021–present — Atomic STEM computational research and scientific software development: developed geometry-resolved few-body image-decomposition and validation workflows, geometry-gated surrogate modelling, uncertainty-aware inference, and tested reproducible Python tooling for HAADF-STEM simulation and analysis
- 2006–2008 — University Lecturer in Physics, Mekelle University
Education
- PhD, University of Iceland, 2021 — computational reconstruction and analysis of three-dimensional atomic structures from aberration-corrected STEM data
- Erasmus Mundus Joint Master's Programme — study across the University of Eastern Finland, University of Granada, Université Jean Monnet, and Gjøvik University College; coursework included data analysis, computer vision, statistical image analysis, spectral imaging, optics, and algorithm design
- B.Ed. Physics, minor in Mathematics — Mekelle University, 2006
Selected research & scientific computing
- Atomic STEM Modelling & Image Analysis — geometry-resolved image formation, few-body decomposition, surrogate modelling, uncertainty-aware inference, controlled image comparison, and reproducible validation
Publications
- K. Sukuta, M. Van den Bossche, A. Pedersen, and H. Jónsson — Nanocluster structure deduced from AC-STEM images coupled to theoretical modelling, Nanosystems: Physics, Chemistry, Mathematics 8(6), 723–731 (2017). DOI 10.17586/2220-8054-2017-8-6-723-731
Preprints
- K. S. Bersha, A. Peña-Torres, and H. Jónsson — From AC-STEM Image to 3D Structure: A Systematic Analysis of Au55 nanocluster, arXiv:2105.04270 (2021). Preprint.
Current manuscripts
- Geometry-Resolved Few-Body Decomposition of HAADF-STEM Image Formation — submission-ready unpublished manuscript.
- Geometry-Gated Interpretable Surrogates for HAADF-STEM Image Formation — submission-ready unpublished manuscript.
- Uncertainty-Aware Atomistic Inference from HAADF-STEM Images: Identifiability, Nuisance Propagation, and Prospective Experimental Qualification — submission-ready unpublished manuscript.
Technical skills
- Python and scientific computing workflows for modelling, simulation, analysis, and validation
- Numerical modelling, optimisation, atomic-resolution image analysis, and scientific data analysis
- ASE, abTEM, NumPy, pytest, type checking, GitHub Actions, uv, Ruff, and reproducible development workflows
Honours and languages
- Erasmus Mundus Scholarship — European Commission, 2008
- Languages — Afaa Konso (native), Amharic (fluent), English (professional working proficiency), Icelandic (elementary)