Yiting Tsai

Yiting Tsai.md
Yiting Tsai

Yiting has obtained both his BASc and MASc degrees at CHBE. His current PhD research is focused on feature extraction, the identification of combined raw input variables which contribute to various process outcomes. This is achieved using Machine Learning algorithms such as Deep Learning, Variational Autoencoders, and Generative Adversarial Networks. Yiting is also working as a part-time data analyst in a consulting company, where he uses his fluency in Python to design predictive models to forecast and diagnose anomalies for real-time process data.

📚 Program/Degree
PhD, since 2016
📝 Research
Data-based Deep Optimal Feature Learning
📨 Contact

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Highlights - 09 February 2022
The Banff International Research Station will host the *Climate Change Scenarios and Financial Risk* Online workshop at the UBC Okanagan campus in Kelowna, BC, from May 1 to May 6, 2022


Our group is recruiting year-round for postdocs, MASc and PhD students, visiting students and undergraduate students.

All admitted students will receive a stipend.

Please see our opportunities page for more information.