Qi Wang
San Jose, California, United States
Summary
🤩
Rockstar🎓
Top SchoolQi Wang is a PhD-level statistician and researcher with nine years of experience applying Bayesian and machine learning time-series methods to real-world forecasting problems. Based at UC Santa Cruz, Qi has balanced graduate research and teaching—developing advanced statistical tools while instructing and supporting graduate and undergraduate statistics courses. Practical industry experience includes quantitative research at a fintech firm where Qi implemented and validated forecasting and algorithmic models. An active open-source contributor, Qi has improved accessibility and pedagogy for ML and reinforcement learning resources in prominent DataWhale tutorials, emphasizing documentation and reproducible workflows. Fluent across academic and applied settings, Qi combines rigorous statistical theory with hands-on data engineering and model deployment. Outside the classroom, Qi’s “Think Different” approach surfaces in work that prioritizes clarity and usability for complex technical materials.
9 years of coding experience
2 years of employment as a software developer
Exchange Program, Statistics, Exchange Program, Statistics at University of MichiganMaster of Science - MS, Statistics, Master of Science - MS, Statistics at 美国加州大学尔湾分校Bachelor of Science - BS, Financial Statistics, Bachelor of Science - BS, Financial Statistics at 中央财经大学University of California Santa Cruz
English, Chinese
Github Skills (14)
markdown10
regression10
machine-learning10
deeplearning-ai10
pytorch10
deep-learning10
markdown-it10
docsify10
python10
documentation10
data-analysis9
jupyter-notebook9
pandas8
numpy8
Programming languages (6)
Github contributions (5)
datawhalechina/easy-rl
Jul 2020 - Jan 2023
强化学习中文教程（蘑菇书🍄），在线阅读地址：https://datawhalechina.github.io/easy-rl/
Role in this project:
Technical Writer
Technical WriterContributions:5 releases, 9 reviews, 678 commits in 2 years 7 months
Contributions summary:Qi primarily contributed to the documentation of the repository. Their commits focused on initializing documentation files, adding titles and content to the index, and including search and formatting features. The changes indicate a focus on improving the readability, accessibility, and user experience of the project's documentation.
a3cddpgsarsapporeinforcement-learning
datawhalechina/leedl-tutorial
Feb 2023 - Feb 2023
《李宏毅深度学习教程》（李宏毅老师推荐👍，苹果书🍎），PDF下载地址：https://github.com/datawhalechina/leedl-tutorial/releases
Role in this project:Data Scientist
Data ScientistContributions:20 releases, 1 review, 1 commit in 1 day
Contributions summary:Qi's primary contribution appears to be initializing and setting up the environment for a regression-based machine learning project, specifically focusing on COVID-19 case prediction. This is evident through the commit message "leedl-tutorial\_init" which indicates project setup and initial configuration. The user is likely working with the provided data as per the notebook structure and requirements.
notesmachine-learningbertchatgptcnn
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