Sujay Nagaraj

MD/PhD Student, Vanier Scholar, University of Toronto (Department of Computer Science)

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I am a final year MD/PhD Student at the University of Toronto, having recently finished my PhD in the Department of Computer Science and the Vector Institute. I am also in the midst of my clinical rotations and going through the Canadian residency match process this cycle.

My PhD was 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

Jan 25, 2025 Excited to announce two first-author papers accepted to ICLR 2025 in Singapore! More details to follow.
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.

selected publications

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    Needles in Needle Stacks: Meaningful Clinical Information Buried in Noisy Waveform Data
    Sujay Nagaraj, Andrew J. Goodwin, Dmytro Lopushanskyy, and 7 more authors
    In Machine Learning for Healthcare (MLHC) 2024, 2024
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    Regretful Decisions under Label Noise
    Sujay Nagaraj, Yang Liu, Flavio Calmon, and 1 more author
    In The Thirteenth International Conference on Learning Representations, 2025
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    Learning under Temporal Label Noise
    Sujay Nagaraj, Walter Gerych, Sana Tonekaboni, and 3 more authors
    In The Thirteenth International Conference on Learning Representations, 2025
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    Dissecting the heterogeneity of “in the wild” stress from multimodal sensor data
    Sujay Nagaraj, Sarah Goodday, Thomas Hartvigsen, and 7 more authors
    npj Digital Medicine, 2023
    Code Website
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    Assessment of machine learning–based medical directives to expedite care in pediatric emergency medicine
    Devin Singh, Sujay Nagaraj, Pouria Mashouri, and 4 more authors
    JAMA Network Open, 2022
    Website
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    What do medical students actually need to know about artificial intelligence?
    Liam G McCoy, Sujay Nagaraj, Felipe Morgado, and 3 more authors
    nPJ digital medicine, 2020
    Website