Dongyu Liu
Assistant Professor at University of California, Davis
Davis, California, United States
Summary
🤩
Rockstar🎓
Top SchoolDongyu Liu is an assistant professor of computer science at UC Davis who blends machine learning, visualization, and HCI to build human-centered AI systems for sustainability and healthcare. With 11 years of research experience spanning MIT postdoc work and internships at Microsoft, Bosch, and Tencent, he focuses on “big data, intelligent algorithms, intuitive interfaces” to make data-to-decision pipelines more efficient, effective, and trustworthy. He designs interactive visual interfaces and algorithmic methods—such as contributions to an unsupervised time-series anomaly detection library where he refactored TadGAN—to bridge data gaps in real-world settings. Trained with a PhD in Data Visualization and HCI from HKUST and a CS BS from Zhejiang University, he combines rigorous academic research with practical open-source engineering.
11 years of coding experience
3 years of employment as a software developer
B.S.Eng., Computer Science and Technology, B.S.Eng., Computer Science and Technology at Zhejiang UniversityHong Kong University of Science and Technology (HKUST)
Github Skills (10)
keras10
machine-learning10
deeplearning-ai10
time-series10
unsupervised-learning10
deep-learning10
anomaly-detection10
python10
generative-adversarial-network10
data-science10
Programming languages (8)
Github contributions (5)
sintel-dev/Orion
Oct 2019 - Nov 2022
Unsupervised time series anomaly detection library
Role in this project:
ML Engineer
ML EngineerContributions:36 reviews, 30 commits, 13 PRs in 3 years 1 month
Contributions summary:Dongyu primarily focused on modifying and refactoring the `TadGAN` implementation, a time series anomaly detection model, within the `orion` library. Their commits involved moving the `TadGAN` code, refactoring its structure, and updating the anomaly scoring functions. They also addressed issues related to file encoding and decoding during installation of the library.
benchmarkingdata-sciencedeep-learningunsupervised-learninganomaly-detection
sintel-dev/sintel
Sep 2020 - Jan 2023
Contributions:1 release, 70 commits, 14 PRs in 2 years 4 months
flaskrestful-apisignals
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