Sujay Nagaraj

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

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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

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

  1. sharkfin.png
    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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    Learning from Time Series under Temporal Label Noise
    Sujay Nagaraj, Walter Gerych, Sana Tonekaboni, and 3 more authors
    2024
    arXiv Code
  3. paper1.png
    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
  5. medstudentAI.png
    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