Anna Goldenberg
Professor
Develops machine learning models for clinical decision tasks, drug response prediction and disease heterogeneity.
Anna Goldenberg's lab at Toronto works on medical imaging & healthcare AI and proteins, drugs & materials. 14 papers since 2023, 3 at top venues, mostly ICLR and FAccT. 5 PhD students and 1 master's student. 43 alumni, most often to Google and Amazon. Applications close .
At a glance
- papers, 2023–2026
- 4/ year
- at T1 venues
- 21%
- PhD students
- 5
- MS students
- 1
- alumni listed
- 43
Papers by yearfrom DBLP, 2023–2026
- 1 papers2026 · T1 1 · collecting
- 4 papers2025 · T1 2
- 3 papers2024 · T1 0
- 6 papers2023 · T1 0
T1 venuesOtherVenues: ICLR, FAccT, npj Digit. Medicine, UAI
Research focuspaper titles that use each topic's words
- Medical imaging & healthcare AI4 papers
- Proteins, drugs & materials0 papers
- clinical decision0 papers
- tasks0 papers
- drug0 papers
Paper list
From DBLP.
20261 paper
20254 papers
- CHILExOSITO: Explainable Off-Policy Learning with Side Information for Intensive Care Unit Blood Test Orders (opens in a new tab)
- UAI (T1)HDP-Flow: Generalizable Bayesian Nonparametric Model for Time Series State Discovery (opens in a new tab)
- ICLR (T1)Learning under Temporal Label Noise (opens in a new tab)
- Nat. Mac. Intell.Moving towards genome-wide data integration for patient stratification with Integrate Any Omics (opens in a new tab)
20243 papers
- MIDLImproving Identically Distributed and Out-of-Distribution Medical Image Classification with Segmentation-Guided Attention in Small Dataset Scenarios (opens in a new tab)
- MLHCNeedles in Needle Stacks: Meaningful Clinical Information Buried in Noisy Sensor Data (opens in a new tab)
- ML4H@NeurIPSTowards a personalized pregnancy experience: Forecasting symptoms using graph neural networks and digital health technologies (opens in a new tab)
20236 papers
- DSTNDSChildhood Adversity's Impact on Dynamic Mental Health During and Post Pregnancy (opens in a new tab)
- npj Digit. MedicineDissecting the heterogeneity of "in the wild" stress from multimodal sensor data (opens in a new tab)
- ML4H@NeurIPSDynamic Interpretable Change Point Detection for Physiological Data Analysis (opens in a new tab)
- SIPAIMMoment-alignment domain adaptation in the few-shot and low-resource context (opens in a new tab)
- EuroVisRiskFix: Supporting Expert Validation of Predictive Timeseries Models in High-Intensity Settings (opens in a new tab)
- FAccTWhat's fair is... fair? Presenting JustEFAB, an ethical framework for operationalizing medical ethics and social justice in the integration of clinical machine learning: JustEFAB (opens in a new tab)
Where alumni went43 listed, 19% to industry
Industry 4Academia 17
Most often to
- Amazon
Also to
- University of Toronto
- Harvard University
- MIT
Apply to TorontoFall 2027
Computer Science MSc/PhD
- Round
- Single round (Dec 1)
- Opens
- —
- GRE
- optional
- English
- TOEFL/IELTS if applicable
- Fee
- CAD 135
Confirmed on the program page.
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Data
Checked against the lab homepage.
- Collected
- Verified
- Papers
- DBLP
- Members
- Lab homepage
- Alumni
- Lab homepage
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