Computational Scientist & Software Engineer
CV
Computational scientist and software engineer with a PhD from the University of Iceland, working across computational science, numerical modelling and optimisation, data and image analysis, scientific software development, and backend engineering.
Professional summary
My work combines computational research and software engineering, with a focus on numerical modelling and optimisation, data and image analysis, scientific software, and backend systems.
Experience
- 2021–present — Computational research and software development: numerical modelling and optimisation, data and image analysis, scientific software, and backend systems
- 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 projects
- Atomic STEM Modelling & Image Analysis — surrogate STEM simulation, controlled image comparison, and validation against reference simulations
- Market Growth Intelligence — Python ingestion, data-quality diagnostics, funnel analysis, and decision-support rules
- Django Portfolio Platform — Django, PostgreSQL, automated tests, CI, object storage, and deployment checks
- Knowledge-Based Minesweeper AI — interface-independent logical-inference engine with 81 unit tests
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
- 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.
Technical skills
- Python, Django, PostgreSQL, JavaScript, React, HTML, and SCSS
- Scientific computing, numerical modelling, data and image analysis, optimisation, and simulation
- pytest, type checking, Playwright, 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)