| Aug 21, 2024 | Our work at the SickKids Critical Care Unit was recently accepted in-proceedings at Machine Learning for Healthcare 2024: we uncover meaningful signal buried within noise artifacts in high-frequency physiological waveform data. Rather than removing this noise, we built and deployed ML models to identify it in order to achieve a variety of important clinical tasks - stay tuned for full-paper! |
| Feb 16, 2024 | Check out our new preprint introducing and proposing methods to handle temporal label noise from time series data: Learning from Time Series under Temporal Label Noise. |
| Dec 20, 2023 | Check out our latest article in nPJ Digital Medicine, where we use causal discovery and multimodal time-series data from wearables to understand the heterogeneity of stress! |
| Dec 8, 2023 | Our workshop proposal for Learning from Time Series 4 Health was accepted at ICLR 2024, see you in Vienna! More details to follow. |
| Dec 22, 2022 | Honoured to have been awarded a prestigious CIHR Vanier CGS Scholarship - $150,000 in funding over 3 years. |