Atomic STEM Modelling & Image Analysis
Gaussian STEM surrogate modelling compared with abTEM reference simulations using matched sampling and explicit validation measures.
- Python
- ASE
- abTEM
- NumPy
Computational Science · Software Engineering
Kusse Sukuta Bersha
Computational Scientist & Software Engineer based in Iceland.
I work across computational science and software engineering, with a focus on numerical modelling and optimisation, data and image analysis, scientific software development, and backend systems.
Software and research
Projects
Django Portfolio Platform
A production Django portfolio with structured case studies, progressive enhancement, automated tests, and documented operations.
- Python
- Django
- PostgreSQL
- HTML
Market Growth Intelligence
A B2B growth decision-support MVP with validated ingestion, diagnostics, commercial funnel analysis, and evidence-gated recommendations.
- Python
- typed domain models
- CSV adapters
- analytics
Constraint-Based Crossword Solver
A Python solver for crossword generation using constraint satisfaction, arc consistency, and backtracking search.
- Python
- constraint satisfaction
- backtracking search
- AC-3
Now
Current direction
Current work includes modelling and validation methods for atomic-resolution STEM imaging, alongside data-analysis and decision-support software.
Background
Research background
My PhD research at the University of Iceland focused on computational reconstruction and analysis of three-dimensional atomic structures from aberration-corrected STEM data, combining image analysis, physical modelling, and numerical optimisation.
Contact
Contact
For enquiries about software engineering, scientific computing, research collaboration, or related projects, please use the contact page.