People

As a student in the Master of Information and Data Science (MIDS) program at UC Berkeley, Ruiyu has focused on applying advanced data science methodologies to diverse domains, including finance, political data, and sustainability. Her work has included deep learning, time series analysis, and collaborative visualization projects, such as analyzing mental health sentiment and improving data center energy efficiency. Through the MIDS program, Ruiyu has honed her ability to design innovative, data-informed solutions that drive meaningful outcomes across various industries.

Human-Computer Interaction, Virtual Reality, Software Engineering.

Financial Technology; Cryptocurrency

I am a passionate data scientist specializing in applying machine learning (ML/DL) and natural language processing (NLP) to develop actionable algorithms/models for real-life data.

Time-series analysis, statistics, experiments

Focused on machine learning, mostly NLP related topics.

Software Engineer at Apple

User Research & Data Analytics

Scalable Machine Learning