Summary
Duy-cat Can is a PhD researcher in Quantitative Biology at CHUV and UNIL with eight years of experience bridging AI, biomedical informatics, and clinical data science. He designs reproducible, interpretable machine learning frameworks for multimodal disease prediction and biomarker discovery, integrating EHRs, imaging, and flow cytometry to improve diagnostic accuracy. His earlier work in biomedical NLP produced advanced deep learning solutions for relation extraction, summarization, and ontology construction, with practical systems for phenotype harmonization (PheneBank) and chemical–disease relation extraction. As a lecturer and researcher, he also teaches algorithms and data structures while developing computational methods for protein-chain analysis, bringing a rare combination of clinical data fluency and production-grade backend engineering experience.
8 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD, Quantitative Biology, Doctor of Philosophy - PhD, Quantitative Biology at FBM UNIL - Faculté de biologie et de médecine de l'Université de Lausanne
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at VNU University of Engineering and Technology
Exchange Master Student, Computer Science, Exchange Master Student, Computer Science at Nanyang Technological University
English, Vietnamese, French