Avi Chanales is a Staff Data Scientist based in New York with 11 years of experience applying experimental design, advanced statistics, and machine learning to real-world products. After a PhD in cognitive neuroscience studying how memories are organized, he transitioned to industry roles at The Wall Street Journal and Hinge where he translates behavioral and large-scale product data into actionable insights. He has built NLP-driven tools in production (including a serverless Chrome extension linking news to charities) and routinely combines semantic methods with pragmatic engineering to surface user-relevant signals. Avi’s background gives him a rare fluency in both designing rigorous experiments and deploying scalable analytics, enabling him to bridge research-grade methods and product impact.
11 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD, Cognitive Neuroscience, Doctor of Philosophy - PhD, Cognitive Neuroscience at New York University
Bachelor's degree, Cognitive Science, Bachelor's degree, Cognitive Science at University of Pennsylvania
Contributions:6 pushes, 1 branch in 1 year 4 months
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