I am a Data Scientist at Moz, housed in Seattle, WA. I hold an MSc (2019) and an HBSc (2015) in Statistical Sciences from the University of Toronto. I am also an Lead Instructor in Data Science and Machine Learning at Brainstation.
My principal albeit ever-evolving academic interests are: Explainability, Inference, and Generalization in Machine Learning and Deep Learning, and Bayesian Inference and Computation.
I am also a dance performer and teaching assistant, currently part of Toronto’s prestigious iFreestyle Latin Dance Company.
Present and recent endeavors:
I’ve been selected as a fellow of the Royal Statistical Society
I’ve been asked to be a mentor of the3skills’ [Project Pivot] professional transition program
I’ve been selected for UC Berkeley’s Theory of Reinforcement Learning Bootcamp. Read more here.
I’m attending StanCon2020, the 24-hour Stan virtual conference!
I’ve accepted a teaching role at Brainstation in their Toronto location, with a focus on Machine Learning and Data Science.
For some of my work and academic proceedings please go to this website’s Projects section or my Git page above.