Jiangang Hao
Research Director at ETS
New Jersey, United States
Summary
👤
Senior🎓
Top SchoolJiangang Hao is a Research Director at ETS who leads programs that fuse psychometrics, data science, and generative AI to measure complex interpersonal skills like collaborative problem solving and communication. With a PhD in Physics and an MA in Statistics, he transitioned from developing unsupervised ML for galaxy cluster detection at SDSS and DES to architecting large-scale EduTech infrastructures such as EPCAL and glassPy for game- and simulation-based assessment. He builds practical, production-ready AI solutions—more than seven deployed since 2021—for problems like remote test security and automated scoring while guiding a multidisciplinary team of scientists and engineers. Hao’s work uniquely bridges deep physical-science training (CCD imaging, image-based precision measurement) with cutting-edge NLP and LLM evaluation, informing responsible use of AI detectors. He is an active researcher and tool author (ECGMM, glassPy) with publications documenting methods that turn rich process and log data into actionable evidence for assessment. Based in New Jersey, he is known for pairing curiosity-driven inquiry with pragmatic, impact-focused engineering.
11 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy (PhD) Physics, Doctor of Philosophy (PhD) Physics at University of Michigan
English, Chinese, Spanish
Github Skills (27)
jupyterlab-extension6
jupyter-notebook5
binder5
jupyter4
jupyterlab4
voila4
python3
ipywidgets3
natural-language-processing3
wordnet3
nlp3
user-generated-content3
jupyter-widget3
notebook3
extraction3
Programming languages (1)
Github contributions (5)
jgbrainstorm/computational_psychometrics
Jul 2016 - May 2022
Contributions:68 commits, 70 pushes, 1 branch in 5 years 11 months
jgbrainstorm/tetralogue
Feb 2015 - Jan 2017
Contributions:7 pushes in 1 year 11 months
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