Arthur Plante

Arthur Plante is a core scientist of OptiMaL. Throughout his Ph.D. in particles physics, Arthur worked on the PICASSO and PICO dark matter experiments located at SNOLAB, Sudbury. During his graduate studies, he became an expert in simulating particle-matter interactions, theoretical dark matter interactions, and in data analysis. His current work focuses on using and developing Bayesian inference methods using Markov Chain Monte Carlo (MCMC) and feature engineering to identify, e.g., the Raman biomarkers that are most effective in improving the separation between cancer and normal tissues in various type of cancers.