Sujay Nagaraj, MD, PhD
PGY1 Internal Medicine Resident, University of Toronto
I am a PGY1 Internal Medicine Resident (2026–2027) at the University of Toronto, presently based out of St. Michael’s Hospital.
I completed my MD at the University of Toronto (2026) and my PhD in Computer Science at the University of Toronto and the Vector Institute (2025), where I was a Vanier Canada Graduate Scholar. My PhD was supervised by Dr. Anna Goldenberg.
My research interests lie at the intersection of machine learning and health — in particular, wearables and time-series data, label noise, and the safety of ML algorithms under deployment.
news
| Jun 1, 2026 | Convocated from my Doctor of Medicine (MD) degree at the University of Toronto! |
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| 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. |
selected publications
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Digital Health Tools Embedded in a Cancer Genetics Clinic: Observational StudyJMIR Formative Research, 2026 -
Needles in Needle Stacks: Meaningful Clinical Information Buried in Noisy Waveform DataIn Machine Learning for Healthcare (MLHC) 2024, 2024 -
Regretful Decisions under Label NoiseIn The Thirteenth International Conference on Learning Representations, 2025 -
Learning under Temporal Label NoiseIn The Thirteenth International Conference on Learning Representations, 2025 -
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
