Yueyi (Renee) Ge
I'm a data science professional with a strong background in anomaly detection, machine learning, and large-scale data analytics.
About
I’m a data science professional with a strong background in anomaly detection, machine learning, and large-scale data analytics. I enjoy turning complex datasets into actionable insights and collaborating with cross-functional teams to support strategic decision-making.
Currently completed a PhD at Monash University, I research unobtrusive sensors to monitor senior wellbeing and detect early health changes. I combine domain knowledge from medical experts with unsupervised modeling and data visualization to empower personalised health monitoring and better patient outcomes.
- 8 years' experience
- Joined January 2026
Skills· 12
Languages
- EnglishFluent
- ChineseAdvanced
Industry experience
- Healthcare
- Education
- Financial Services
- Software & Internet
- Media & Entertainment
- Life Sciences
- Professional Services
Work experience· 6 roles
Coordinated remote eExams across multiple faculties, providing technical support and troubleshooting; supervised Alternate Assessment Arrangements to ensure fair exam experiences; collaborated with academic, medical, and technical staff to improve workflows.
Monitored health and well-being of seniors using unobtrusive motion sensors; developed models to detect significant routine changes related to illness onset; integrated domain knowledge from medical experts to simulate abnormal behaviours and explored unsupervised methods to identify visitor presence for personalised health monitoring.
Built an automated data collection pipeline for ECG monitoring devices; stored and analyzed ECG datasets using Oracle Autonomous Cloud; evaluated AI-based patient–psychologist matching system concepts and produced a technical report on healthcare AI adoption.
Education
Certifications and awards
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