Wen-ting Wang

Collaborative Research Scholar

Taiwan
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Summary

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Senior
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Top School
Wen-ting Wang is a machine learning engineer and collaborative research scholar with over nine years of experience applying deep learning, spatiotemporal modeling, and LLMs to production-scale problems. She has built end-to-end systems—from automated computer vision pipelines for event detection to multi-queue retrieval and large-scale recommender infrastructures—emphasizing computational efficiency and deployability. Her research background (Ph.D. in Statistics) informs novel methodology work on generative models and diffusion enhancements at Academia Sinica, bridging rigorous theory with practical engineering. Wen-ting has led cross-functional teams, taught data science at scale, and grown engineering capability while delivering measurable business impact such as a 50% lift in conversion for a deployed ML product. She is an advocate of turning messy, massive data into intelligent systems and contributes to open-source and model optimization efforts. Based in Taiwan, she combines academic depth with hands-on production experience, often surfacing statistical insights that improve real-world ML reliability.
code10 years of coding experience
job15 years of employment as a software developer
bookDoctor of Philosophy (Ph.D.), Statistics, Doctor of Philosophy (Ph.D.), Statistics at National Chiao Tung University
bookBachelor’s Degree, Statistics, Bachelor’s Degree, Statistics at National Taipei University
languagesEnglish, Chinese
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Stackoverflow

Stats
23reputation
811reached
1answer
1question
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Github Skills (41)

r-package10
rcpparmadillo10
r10
pca10
regularization10
spatial-data10
matrix-factorization10
covariance10
spatial-data-analysis10
rcppparallel10
spatial10
principal-component-analysis10
splines10
kriging9
auc9

Programming languages (5)

ShellRC++Jupyter NotebookPython

Github contributions (5)

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egpivo/QuantRegGLasso

Dec 2023 - Oct 2025

R Package: Adaptively weighted group lasso for semiparametic quantile regression models
Contributions:15 PRs, 77 pushes, 17 branches in 1 year 10 months
quantile-regressionr-packageadmmgroup-lassohigh-dimensional
egpivo/PythonPractice

Apr 2017 - Feb 2023

Contributions:55 pushes, 1 branch in 5 years 11 months
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