Yuki
Japan
Summary
👤
SeniorYuki 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.
14 years of coding experience
Github Skills (22)
simple-git10
alfred-workflow10
alfred9
auto-close9
go8
golang8
chrome7
readline7
http-server6
twitter-client6
twitter6
vim3
command-line3
ncurses3
neovim3
Programming languages (4)
Github contributions (5)
pasela/edark.vim
Jul 2012 - Mar 2014
Contributions:8 commits in 1 year 9 months
pasela/git-cgi-server
Mar 2018 - Nov 2022
Simple Git Smart HTTP Server written in Go.
Contributions:49 commits, 5 PRs, 3 pushes in 4 years 9 months
gohttp-serversimple-git
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