Sujay Nagaraj
MD/PhD Student, Vanier Scholar, University of Toronto (Department of Computer Science)
I am a 7th year MD/PhD Student at the University of Toronto, currently wrapping up my PhD (Year 5) in the Department of Computer Science and the Vector Institute. I am also in the midst of my clinical clerkship rotations primarily at Unity Health Network (St. Michael’s Hospital).
I am supervised by Dr. Anna Goldenberg.
My research interests lie at the intersection of machine learning and health - in particular, how can we leverage the vast data from wearable devices to make meaningful inferences about human health?
news
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! |
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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. |
selected publications
- Needles in Needle Stacks: Meaningful Clinical Information Buried in Noisy Waveform DataIn Machine Learning for Healthcare (MLHC) 2024, 2024
- Assessment of machine learning–based medical directives to expedite care in pediatric emergency medicineJAMA Network Open, 2022
- What do medical students actually need to know about artificial intelligence?nPJ digital medicine, 2020