John Boby Mesadieu

I’m a statistician and machine learning researcher based in Ottawa. My work sits at the intersection of Bayesian inference, causal methods, and applied deep learning — particularly the parts of ML that matter when decisions have real consequences: uncertainty quantification, privacy, and behavior under distribution shift.

I hold an MSc in Mathematics and Statistics from the University of Ottawa, where I worked with Tanya Schmah on generative models for medical imaging. I currently consult as a statistician with the research team at Hôpital Montfort, and my work has appeared at IEEE NSS/MIC. Before returning to Canada, I worked as a data scientist at the Catholic Medical Mission Board in New York, and as a data analyst in Haiti, where I’m originally from.

I’m currently exploring research scientist and applied scientist roles. I work in English