Weixiang Yu
Postdoctoral Scholar at Bishop's University
Greater Philadelphia United States
Summary
👤
Senior🎓
Top SchoolWeixiang Yu is a Postdoctoral Scholar and Canadian-Rubin Fellow with a decade of experience at the intersection of astrophysics and data science, specializing in Active Galactic Nuclei research. Trained with a PhD in Physics from Drexel and a BS from UIUC, he combines observational/theoretical AGN work with practical machine learning applications such as source classification and photometric redshift estimation. His background includes teaching, supercomputing support, and academic software development, giving him fluency in both research coding and high-performance computing environments. Based in Greater Philadelphia, he brings a collaborative, interdisciplinary approach that translates complex astronomical datasets into reproducible analyses and actionable insights. Notably, he bridges domain expertise and engineering by deploying ML techniques tailored to the quirks of astronomical surveys rather than relying on off-the-shelf models.
10 years of coding experience
Doctor of Philosophy - PhD, Physics, Doctor of Philosophy - PhD, Physics at Drexel UniversityPhysics, Physics at Miami UniversityUniversity of Illinois Urbana-Champaign
English, chniese, French
Github Skills (39)
jupyter10
astronomy10
jupyterlab10
gaussian-processes10
maf10
python9
time-series9
jupyter-notebook9
training-data8
leaflet8
visualization7
administration7
maps7
gaussian7
gps6
Programming languages (7)
Github contributions (5)
RichardsGroup/LSST_training
Jan 2020 - Jul 2021
Scripts & notebooks to access and work with LSST AGN selection training data
Contributions:69 commits, 5 PRs, 55 pushes in 1 year 5 months
training-data
ywx649999311/EzTao
Apr 2020 - Nov 2022
A Python Toolkit for AGN Time Series Analysis using CARMA models
Contributions:17 releases, 220 commits, 31 PRs in 2 years 7 months
pythontime-seriescarmadrwagn
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