7 October 2025 5:30pm–7:30pm
Join us at UQ Brisbane City for a Public Lecture, held as part of the UQ-UZH Symposium, co-hosted by The University of Queensland (UQ) and the University of Zurich (UZH).
A Toolbox for Human-AI Collaboration in Lifespan Health Analysis
Physiological time series data holds considerable promise for advancing the understanding of health and aging. However, transitioning from raw signals to analytically ready data remains a complex and often ad-hoc process. In this presentation, PhD candidate Gabriela Morgenshtern introduces STAG (Statistical Timeseries Analysis Guide), a visual analytics system developed at the University of Zurich to facilitate transparent and reproducible preprocessing of sensor data for exploration and model training.
STAG enables clinical researchers to build, document, and share preprocessing workflows using a modular, low-code interface that records each transformation along with its underlying rationale. The system produces exportable Python scripts, structured insight templates, and graphical workflow documentation to promote collaboration and cross-study comparability.
Ms Morgenshtern will demonstrate STAG and reflect on how visual analytics can improve collaboration between humans and AI in sensor and broader time series analysis. The session will also explore how longevity research can benefit from more rigorous and reusable preprocessing practices.
Event details
Date: Tuesday 7 October 2025
Time: 5:15pm arrival (5:30pm start) — 6:30pm, followed by networking and refreshments
Venue: Room 0M08, Level 0M, 308 Queen Street, Brisbane City