Ping-yang Chen
Assistant Professor at 工研院
New Taipei, Taiwan
Summary
👤
Senior🎓
Top SchoolPing-yang Chen is an Assistant Professor and experienced data scientist with a decade of applied statistics and industrial analytics work spanning academia, research institutes, and AI startups. He holds a PhD in Statistics and has led or contributed to over 15 manufacturing-focused data science projects at ITRI, NCKU, and Chimes AI, blending theory with production deployments. His research bridges optimal experimental design and surrogate modeling for Bayesian optimization, informing practical decision-making in engineering contexts. Known for moving methods from lab to shop floor, he pairs rigorous statistical foundations with hands-on experience as a former QA engineer and technology director. Based in New Taipei, he continues to translate advanced design and acquisition algorithms into industrial gains while training the next generation of statisticians.
10 years of coding experience
7 years of employment as a software developer
Bachelor's degree, Applied Mathematics, Bachelor's degree, Applied Mathematics at 國立政治大學Doctor of Philosophy - PhD, Statistics, Doctor of Philosophy - PhD, Statistics at 國立成功大學
Stackoverflow
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Github Skills (7)
logistic-regression9
regression7
r-package4
cran2
tensorflow1
tensor1
package-repository1
Programming languages (1)
Github contributions (5)
PingYangChen/milr
Jul 2016 - Dec 2021
multiple-instance logistic regression with lasso penalty.
Contributions:8 PRs, 28 pushes, 2 branches in 5 years 6 months
regressionlogisticlogistic-regressionpenaltylasso
PingYangChen/DiscrimOD
May 2017 - Jan 2022
Contributions:1 release, 66 commits, 69 pushes in 4 years 9 months
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