Noah Ripstein
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noah.h.ripstein[at]gmail.com
I’m an incoming Statistics PhD student at the University of Toronto. I’m interested in developing computational techniques, methodology and accessible software to solve data-centric challenges in science and healthcare. I’ve enjoyed working on Bayesian computation, hierarchical models, and spatial statistics.
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.
I’m currently taking a post-bachelor year of advanced statistics and math courses to prepare for my graduate studies.
In my free time, I like to hike, canoe, play chess, and follow the stock market.
news
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 |
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Jun 10, 2024 | 🎉 I was honoured with the top academic prize for McMaster’s interdisciplinary Artsci program in at my graduation! Laura Dodson Prize |
Apr 29, 2024 | 🧠 I presented my undergraduate thesis, which 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 |
latest blog posts
Dec 20, 2024 | Automating Repetetive Work With Computer Vision |
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Jul 01, 2023 | 2048 Game AI |
Jun 15, 2023 | What Bird is That? - Computer Vision Website |