I'm a Research Engineer and Data Engineer with over 10 years of experience across academia and research infrastructure. I currently contribute to large-scale life science data projects at Chalmers e-Commons and SciLifeLab Data Centre.
Research interests:
- Machine Learning & Deep Learning (especially for bioinformatics)
- Graph Neural Networks
- Explainability
- Transfer Learning
- MLOps and scalable data pipelines
- Open Science and FAIR data principles
- Research tooling and infrastructure
- Education and training in data science and machine learning
| Category | Technologies |
|---|---|
| Languages |     |
| Data Science & ML / DL |       |
| Explainability |    |
| MLOps & Experiment Tracking |    |
| Web & API Development |    |
| Containers, Orchestration & Automation |    |
| Databases |   |
| Version Control & CI/CD |    |
| Other |   |
| Project | Description | Links |
|---|---|---|
| PocketDock | A web-based platform that predicts druggable binding pockets, docks single ligands or whole libraries. | GitHub · Docs |
| DTA-GNN | Target-specific drug-target affinity dataset builder & GNN trainer | Paper · Docs |
| SLPred | Subcellular localization predictor using multi-view learning | Paper · Website |
| CAPIM | Catalytic activity and site prediction in multimer proteins | Paper · Website |
| ProtFeat | Protein feature extraction tool for bioinformatics pipelines | GitHub |
| Awesome GNN Drug Discovery | Curated list of GNN-based drug discovery resources | GitHub |
Hands-on tutorials to help you get started with various tools and technologies.
- Machine Learning Introduction — A one-day crash course covering core ML concepts and workflows
- GitHub Actions — Step-by-step guide to CI/CD automation with GitHub Actions
- Single Cell Analysis — End-to-end single-cell RNA-seq data analysis pipeline
- Metabolomics Data Analysis — Metabolomics data processing and statistical analysis
Thanks for stopping by! Feel free to explore my repos or reach out for collaboration.