Ambrose Emmett-Iwaniw

M3 4128

Ambrose Emmett-Iwaniw is a current PhD candidate in Statistics under supervisor Christiane Lemieux. Ambrose obtained a bachelor’s degree in Bachelors of Science in Statistics and Computer Science, University of Toronto, from University of Toronto in 2020, and then obtained a Masters degree in Masters of Mathematics in Statistics, University of Waterloo, 2021 from University of Waterloo in 2021.  Ambrose’s research interests are: Machine Learning, Deep Learning, Quasi-Monte Carlo Methods, Time Series Analysis.

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