Noah Ripstein

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noah.ripstein[at]mail.utoronto.ca

I’m a first year Statistics PhD student at the University of Toronto supervised by Jamie Stafford and Patrick Brown. My research interests include computational statistics, probabilistic modelling, approximate inference and their applications to domains with complex and large data. Lately, I’ve been working on Bayesian optimization.

I completed my undergraduate degree in McMaster University’s interdisciplinary “Artsci” program, with combined honours in Psychology, Neuroscience and Behaviour, and a Math minor. I developed my deep interest in Statistics through computational neuroscience research, where I studied the “Bayesian brain hypothesis,” and worked on statistical models of human sensory perception and learning.

In my free time, I like to hike, canoe, play chess, and follow the stock market.

news

Jun 03, 2026 🎉 I presented my work on scalable spatial disaggregation at SSC 2026 and was awarded a Student Research Poster Presentation Award!
Aug 30, 2024 🎉 The patent-pending multimodal ML product I built at RBC Amplify was awarded the “Industry Disruptor Award” by chief executives! Watch me in the Amplify promotional video here
Jun 10, 2024 🎉 I was honoured with the top academic prize for McMaster’s interdisciplinary Artsci program at my graduation! Laura Dodson Prize
Apr 29, 2024 🧠 I presented my undergraduate thesis at NeuroXChange! My thesis involved Bayesian modeling of human sensory perception and learning, and also designing a Computer Vision program to automatically analyze video of participants performing an experiment. Read more here

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