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Anna Goldenberg

University of Toronto · Computer Science
computational biology developing machine learning models for clinical decision tasks drug response predictions disease heterogeneity deconvolution

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Dr. Anna Goldenberg is a Professor in the Department of Computer Science at the University of Toronto and a Senior Scientist at the SickKids Research Institute. Her research focuses on computational biology, developing machine learning models for clinical decision tasks, drug response predictions, and disease heterogeneity deconvolution. She is also the first Varma Family Chair in Biomedical Informatics and Artificial Intelligence and a fellow at CIFAR. Dr. Goldenberg is committed to creating responsible AI systems for healthcare, addressing challenges such as model explainability and error rates in clinical predictions.


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Anna Goldenberg is an Assistant Professor in the Department of Computer Science at the University of Toronto, affiliated with the SickKids Research Institute. Her research focuses on machine learning, computational biology, network modeling, disease heterogeneity, and data integration. She develops methods to integrate diverse biological and clinical data to better understand complex diseases. Her work includes similarity network fusion, drug response prediction, and explainable machine learning for healthcare. Goldenberg emphasizes transparency and reproducibility in AI, particularly in biomedical applications. Her research bridges computational techniques with biological insights to address challenges in disease detection and treatment.

Source: google_scholar · 95 words
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