Yuki Minai is an applied research scientist and PhD candidate in Carnegie Mellon’s PNC/Machine Learning joint program, blending neuroscience, machine learning, and causal inference across academia and industry. With 13 years of experience spanning data science, digital marketing, and e-commerce strategy at companies like Amazon, Rakuten, ABEJA, and KYOCERA, they turn complex data into product-facing solutions and interpretable models. Their work includes building a causal model to drive retail insights and rapidly shipping analytics features using Python, AWS, and MySQL, reflecting a product-minded research approach. Comfortable with low-level tools (Vim, Archlinux) and languages like Go and Ruby, they bridge experimental rigor with engineering pragmatism. Based in Pittsburgh, they bring cross-cultural experience from Japan and the US and an uncommon combination of mathematics, psychology, and neuroscience training that informs human-centered ML research.
Contributions:1 release, 24 commits, 4 PRs in 2 years 7 months
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