Louis Tiao
Research Scientist at Meta
New York, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolLouis Tiao is a research scientist at Meta in New York with 13 years of experience advancing probabilistic machine learning, specializing in Bayesian optimization, Gaussian processes, and sample-efficient decision-making for AutoML and deep learning. He holds a PhD from the University of Sydney and has a track record of conference-recognized research (NeurIPS, ICML) alongside industrial impact from placements at Amazon, Secondmind, and CSIRO/Data61. Louis blends rigorous approximate Bayesian inference with engineering practice, having released open-source tooling to make GP sampling and scalable BO more accessible. His work on multi-fidelity and asynchronous hyperparameter tuning informed production AutoML features and libraries, and he often operates at the interface of research and deployable software. A less obvious strength is his sustained cross-sector collaboration—academia, startups, and large cloud providers—giving him a rare perspective on both theoretical advances and real-world ML system constraints.
13 years of coding experience
5 years of employment as a software developer
The University of SydneyUNSW Sydney
English, German, Chinese, French
Stackoverflow
805reputation
38kreached
13answers
9questions
Github Skills (187)
hugo-theme10
probabilistic-programming10
python10
ruby10
deep-learning10
bayesian-methods10
approximation10
forestry10
scikit10
statistics10
docker-compose10
bayesian-deep-learning10
linear-models10
kubernetes10
open-science10
Programming languages (9)
Github contributions (5)
ltiao/ltiao.github.io
Mar 2015 - Jul 2018
Contributions:420 commits, 2 PRs, 141 pushes in 3 years 4 months
react
ltiao/dotfiles
Dec 2019 - Jan 2022
Contributions:15 commits, 30 pushes in 2 years 1 month
sensiblewindowsosxlinuxos-x
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