Sorawit Saengkyongam
Research Scientist at Apple
Zürich Metropolitan Area Switzerland
Summary
👤
Senior🎓
Top SchoolSorawit Saengkyongam is a research scientist based in Zürich with a decade of experience at the nexus of causality, invariance, and robust machine learning, currently applying these strengths to AI for Health at Apple. He combines rigorous academic training (PhD-level statistics from ETH Zürich and an MSc in Machine Learning from UCL) with applied impact, having driven personalization systems at Agoda that produced multi-million dollar gains and led causal representation work at Carnegie Mellon and Harvard. His research spans high-dimensional observational problems—from satellite time-series for aerosol–cloud interactions to mobile health interventions—emphasizing methods that remain reliable under distribution shift. Known for bridging theory and production, he has a track record of translating causal ML advances into deployed health technologies that tolerate real-world variability.
10 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD, Statistics, Doctor of Philosophy - PhD, Statistics at ETH ZürichBachelor’s Degree, Statistics, 1st Class Honours, Bachelor’s Degree, Statistics, 1st Class Honours at Chulalongkorn UniversityUniversity College London
English, Thai
Github Skills (13)
self-organizing-map9
information-theory8
reinforcement-learning7
deep-learning6
machine-learning6
artificial-intelligence6
estimate6
python5
synthetic4
incremental-learning4
data-science4
magenta3
tensorflow3
Programming languages (3)
Github contributions (5)
sorawitj/counterfactual-mean-embedding
Oct 2017 - Nov 2020
Contributions:52 commits, 4 PRs, 56 pushes in 3 years 1 month
sorawitj/sorawitj.github.io
Jun 2021 - Mar 2024
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Contributions:99 pushes in 2 years 9 months
templategithub-pages-templatemmistakesmistakesjekyll
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