Ambrose Emmett-Iwaniw

PhD Statistics
Contact Information
Groups
Doctoral, Graduate Students
Links
Link to personal webpage: UWaterloo Scholar
Additional Information

Ambrose Emmett-Iwaniw is a current PhD candidate in Statistics under supervisor Christiane Lemieux. Ambrose completed a Bachelor of Science in Computer Science and Statistics from the University of Toronto in 2020, and then obtained a Master of Mathematics in Statistics from the University of Waterloo in 2021. Ambrose's research interests are Variational Inference, Machine Learning, Deep Learning, Quasi-Monte Carlo, Sequential Monte Carlo, Time Series Analysis