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 (13)
genetic-algorithm8
symbolic-regression8
classification8
astronomy8
evolutionary-algorithms7
julia7
algorithm7
machine-learning7
python6
automl5
distributed-systems4
data-science4
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/image_data
Nov 2019 - Aug 2025
Contributions:14 pushes, 1 branch in 5 years 10 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.