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 proteomics. My work focuses on developing machine learning models to enhance peptide identification in high-throughput LC-MS/MS, bridging AI, bioinformatics, and molecular medicine.
My academic path reflects this evolution: a B.Sc. in Microbiology & Immunology (McGill University), a Graduate Certificate in Clinical Bioinformatics (Humber College), and now a Master’s 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.
Let's Connect
I'm always open to discussing new collaborations, data challenges, or research opportunities. Reach out through any of the platforms below.