Education

KTH Royal Institute of Technology

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2020-2022 · M.Sc. in ICT Innovation (GPA 9/10)

Selected courses: Data-Intensive Computing, Data Mining, Innovation Study Project.

Eindhoven University of Technology

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2020-2022 · M.Sc. in Computer Science and Engineering (GPA 9/10)

Publication: Hu, Y. T., Burch, M., & Wetering, H. van de. (2021). Visualizing dynamic data with heat triangles. Journal of Visualization, 1-15.

Selected courses: Advanced Algorithms, Machine Learning and Engineering, Big Data Management, Foundations of Process Mining, Applied Statistics, Visual Analytics, Foundations of Data Mining, Applications of Data Science for Software Engineering.

Extracurricular activities: joined Summer School Internet of Things (IoT) Platforms for Industry 4.0 at Technical University of Munich and served as Student Representative for the EIT cohort Eindhoven 2020/21.

Eindhoven University of Technology | Tilburg University

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2017-2020 · B.Sc. Data Science (Cum Laude)

Publication: Hu, Y.T., Burch, M., & van de Wetering, H. (2020). Visualizing dynamic graphs with heat triangles. Proceedings of the 13th International Symposium on Visual Information Communication and Interaction, 1-8.

Selected courses: Multivariate Data Analysis, Data Structures, Cognitive Science, Design for Games and Play I, Mathematical Analysis 1 and 2, Process Theory, Business Analytics, Data Science Research Methods, Statistical Computing, Linear Optimization, Linear Algebra, Law and Data Science.

Extracurricular activities: organised and promoted the Data Science Summit 2019 with 350 visitors to showcase interesting scientific research done in close collaboration with and inspired by the industry at the Eindhoven Artificial Intelligence Systems Institute (EAISI), previously known as Data Science Center Eindhoven (DSCE).