Guy Wolf
Associate member, UdeM

My research focuses on exploratory data analysis, with applications in bioinformatics. My approaches are multidisciplinary and combine together machine learning, signal processing, and applied math tools. In particular, my recent works use a combination of diffusion geometries and deep learning to find emergent patterns, dynamics, and structure in big high dimensional data (e.g., in single-cell genomics and proteomics).

PhD and MSc students who are interested in doing research at the intersection applied math, machine learning, and data science, are welcome to contact me by email.