Hung-jin Huang
Analog Mix-Signal Modeling Software Engineer at Apple
Tucson, Arizona, United States
Summary
👤
Senior🎓
Top SchoolHung-jin Huang is an Analog Mix-Signal Modeling Software Engineer at Apple with a PhD in Physics and nine years of experience applying statistical and machine learning methods to large-scale astrophysical problems. He blends rigorous Bayesian and Monte Carlo inference with modern deep learning (CNNs, ViTs, VAEs, GANs) to accelerate scientific pipelines and extract more information from noisy data—work that yielded a ~20% improvement in parameter constraints equivalent to a large increase in telescope time. Comfortable in Python, R, SQL and Linux, he has processed tens of terabytes of simulation data, led a 70+ scientist collaboration, published 20+ papers with 500+ citations, and mentored students while teaching ML applications in research. At Apple he now brings that quantitative modeling and software craftsmanship to mixed-signal engineering, combining long-term systematic thinking with careful, reproducible code. An oft-overlooked strength is his ability to translate complex model embeddings into interpretable visualizations, having sampled and analyzed feature spaces from trained networks to probe what they learn about galaxies.
9 years of coding experience
9 years of employment as a software developer
Master of Science - MS, Astronomy and Astrophysics, Master of Science - MS, Astronomy and Astrophysics at National Taiwan UniversityDoctor of Philosophy - PhD, Physics, Doctor of Philosophy - PhD, Physics at Carnegie Mellon University
Github Skills (26)
routines7
traits6
cosmology6
modeling5
quantile5
density-estimation5
classify5
spectrum5
nmf5
random-walk5
simulation4
playing4
galaxy4
astrophysics4
fuzzy-logic4
Programming languages (2)
Github contributions (5)
UA-ASTR502-2022/astr502
Jan 2022 - Apr 2022
ASTR502 course repository
Contributions:66 commits, 1 PR, 55 pushes in 3 months
KinematicLensing/BinnedFit
Mar 2020 - Nov 2021
kinematic lensing modeling
Contributions:6 PRs, 44 pushes, 14 branches in 1 year 8 months
modeling
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