Marc Hon
Assistant Professor at National University of Singapore
Singapore
Summary
👤
Senior🎓
Top SchoolMarc Hon is an assistant professor and former TESS Postdoctoral Fellow with eight years of experience applying machine learning to asteroseismology to infer stellar properties and probe stellar interiors across the Galaxy. He trained at UNSW (PhD) and held appointments as a NASA Hubble Fellow at the University of Hawaii and a postdoc at MIT Kavli, combining observational expertise with data-driven modeling. His work scales analysis to millions of stars, blending astrophysical domain knowledge with practical ML pipelines and student mentorship. Based in Singapore, he has supervised and taught machine learning-focused astrophysics projects from undergraduate to graduate levels. Marc’s research uniquely connects precision stellar seismology with scalable inference methods, enabling population-level studies that inform galactic archaeology. He is known for translating complex survey data into reproducible, machine-learning-ready products that accelerate discovery.
8 years of coding experience
Bachelor of Science - BS, Physics, Bachelor of Science - BS, Physics at University of WollongongUNSW Sydney
Github Skills (17)
symbolic-regression8
stellar8
classification8
evolutionary-algorithms8
genetic-algorithm8
astronomy8
machine-learning7
julia7
regression6
python6
algorithm5
data-science4
automl4
distributed-systems4
scikit-learn4
Programming languages (2)
Github contributions (5)
mtyhon/starclass
Sep 2018 - Oct 2020
Stellar Classification
Contributions:2 PRs, 29 pushes in 2 years
stellarpythonclassification
mtyhon/deep-sub
Apr 2020 - Jul 2020
Contributions:11 commits, 12 pushes, 1 branch in 3 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.