My interest is using ML/AI (computer vision, NLP and knowledge graphs) to help solve real-world problems. Because my background spans wet lab (tissue engineering and regenerative medicine), medical imaging and mechanical engineering, I am really comfortable (and kinda enjoy it) bridging the gap between life and physical sciences, and ML/AI data solutions.
- Diagnostic and prognostic models using attention-based multiple instance learning
pathology-clam-addmil - Chimera multimodal AI challenge 2025 link
- Ontology and knowledge graphs for multimodal biomedical data
KG
- Single-cell / bulk RNA-seq cell-typing
finding-neurons - Notch signalling pathway modeling from 3D-tracked time-series data
modeling-notch-signaling - (Publication) Navigating the landscape of multimodal AI in medicine: a scoping review on technical challenges and clinical applications, 2025 link
- (Publication) Enhancing Early Detection of Metastatic Cutaneous Squamous Cell Carcinoma (CSCC): Integrating AI With Histopathological Assessments, 2025
- (Publication) Artificial intelligence-aided ultrasound imaging in hepatopancreatobiliary surgery: where are we now? 2024 link
- (Patent) Head Protection Device and Method of Manufacturing the Same link
Full list on Google Scholar