| Jun 1, 2026 | Convocated from my Doctor of Medicine (MD) degree at the University of Toronto! |
| Jan 1, 2026 | New paper out in JMIR Formative Research: Digital Health Tools Embedded in a Cancer Genetics Clinic. One of the first studies deploying wearables in a clinical setting to monitor treatment-related stress and anxiety — conducted at SickKids in patients with Li-Fraumeni syndrome. |
| May 26, 2025 | Successfully defended my PhD thesis, “Reconciling with Noise in Machine Learning for Health”! |
| Jan 25, 2025 | Excited to announce two first-author papers accepted to ICLR 2025 in Singapore! Regretful Decisions under Label Noise and Learning under Temporal Label Noise. |
| Aug 21, 2024 | Our work at the SickKids Critical Care Unit was accepted at Machine Learning for Healthcare 2024: Needles in Needle Stacks: Meaningful Clinical Information in Waveform Noise. We uncover meaningful signal buried within noise artifacts in high-frequency physiological waveform data, building and deploying ML models to identify it for a variety of clinical tasks. |
| 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. |