Ian Quah
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About
Ian Quah is a Ph.D. student at the University of Washington, specializing in the intersection of Neuroscience and Machine Learning. His research involves understanding large-scale neural circuits and applying biological insights to improve deep learning algorithms. He aims to create algorithms that are sample-efficient, power-efficient, and interpretable. Ian also explores topics in Deep Reinforcement Learning and Privacy-Preserving Machine Learning. Additionally, he provides guidance to junior ML engineers and startups, balancing his academic pursuits with personal passions like bouldering and cooking.
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Features
• involvement in privacy-preserving ml
• guidance for junior ml engineers
• exploration of neural circuits
• research in deep learning algorithms
• focus on neuroscience and machine learning
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