AI · Proteomics
PeptiDIA
Ongoing research project using machine learning to improve peptide identification in fast LC–MS/MS (DIA) workflows.
Computational Biologist | AI & Proteomics
Transforming complex biological data into actionable insights.
I build intelligent tools that bridge molecular science and machine learning/deep learning to accelerate discovery in human health.
About Me
I am a computational biologist specializing in artificial intelligence for molecular medicine. My work focuses on developing artificial intelligence models for molecular medicine tasks, bridging AI, bioinformatics, and biomedical research.
My academic path reflects this evolution: a B.Sc. in Microbiology & Immunology (McGill University), a Graduate Certificate in Clinical Bioinformatics (Humber College), and a Master's and now PhD in Molecular Medicine (Université Laval), where I apply AI-driven approaches to tackle complex biological data challenges.
I am passionate about leveraging artificial intelligence to transform biomedical research and healthcare, and I am open to opportunities in AI for bioinformatics, data science, and computational biology to help advance the biotechnology revolution.
Download CVSelected Work
Current research integrating AI with high-throughput proteomics.
AI · Omics
Pediatric Cancer Foundation Model
Training a foundation model on pediatric cancer data.
Let's Connect
I'm always open to discussing new collaborations, data challenges, or research opportunities. Reach out through any of the platforms below.