Daniel Yoo
Founding Machine Learning Lead at Lanai
Portland, Oregon Metropolitan Area United States
Summary
👤
Senior🎓
Top SchoolDaniel Yoo is a founding machine learning lead with 11 years of experience building state-of-the-art ML systems for real-world problems, currently focused on discovering, protecting, and accelerating safe AI adoption. He has a strong track record in production ML across healthcare, advertising, and real estate—moving models from research to deployed systems at companies like Cambia, Knock, Liminal, and Lanai. A Kaggle Master with top-100 global ranking and multiple high finishes in competitive challenges, he brings competition-honed modeling and feature engineering skills to large-scale applied problems. Daniel combines academic rigor (PhD-level research experience in psychology/brain imaging) with practical product delivery, having led teams and shipped fraud, readmission, and data-protection systems. Based in Portland, he pairs deep experimentation with user-centered deployment, and maintains an active GitHub presence (comadan) that surfaces his continual curiosity and reproducible work.
11 years of coding experience
15 years of employment as a software developer
Bachelor of Science (B.S.) Economics, Bachelor of Science (B.S.) Economics at Massachusetts Institute of TechnologyDoctor of Philosophy (PhD) Psychology, Doctor of Philosophy (PhD) Psychology at Emory University
English, Korean
Github Skills (10)
kaggle9
recurrent3
convolutional-neural-networks2
recurrent-neural-networks2
cnn-keras2
theano1
machine-learning1
deep-learning1
tensorflow1
neural-network1
Programming languages (1)
Github contributions (5)
comadan/FM_FTRL
Feb 2015 - Nov 2016
Hashed Factorization Machine with Follow The Regularized Leader for Kaggle Avazu Click-Through Rate Competition
Contributions:15 commits, 11 pushes, 2 comments in 1 year 9 months
kaggle
comadan/GDL_code
May 2020 - Jun 2020
The official code repository for examples in the O'Reilly book 'Generative Deep Learning'
Contributions:76 pushes, 1 branch in 28 days
pytorchdeep-learningneural-networksmachine-learningcode-repository
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