Anna Goldenberg

Faculty Member

Associate Professor, Department of Computer Science, University of Toronto

Canada CIFAR Artificial Intelligence Chair

Senior Scientist, SickKids Research Institute

Anna is a Senior Scientist in the Genetics and Genome Biology Program at SickKids Research Institute and Associate Professor in the Department of Computer Science at the University of Toronto (Computational Biology Group) with a cross appointment in the department of Statistics. Her main research focus is to develop machine learning methods that can help decipher human disease heterogeneity, which involves combining data from multiple sources. Examples of her recent research include predicting necessity of thyroid biopsy and resection and age of cancer onset in children with cancer predisposition syndrome. Anna trained in machine learning at Carnegie Mellon University, with a postdoctoral focus in computational biology. The Goldenberg Lab collaborates with clinicians to ensure that work is relevant in the clinic. Anna is also a Member of the CIFAR Child and Brain Development group and a Member of the Scientific Management Committee of the Centre for Computational Medicine at SickKids.

Research Interests

  • Computational biology


  • Holds the Varma Family Chair of Medical Bioinformatics and Artificial Intelligence at The SickKids Research Institute.
  • Department of Computer Science Award for exceptional mentoring and outstanding commitment to graduate student recruitment, University of Toronto.
  • Early Researcher Award from the Ministry of Research and Innovation.


How interpretable and trustworthy are gams?

Chun-Hao Chang and Sarah Tan and Ben Lengerich and Anna Goldenberg and Rich Caruana


A Research Ethics Framework for the Clinical Translation of Healthcare Machine Learning

Melissa D McCradden and James A Anderson and Elizabeth A. Stephenson and Erik Drysdale and Lauren Erdman and Anna Goldenberg and Randi Zlotnik Shaul


A comprehensive EHR timeseries pre-training benchmark

Matthew McDermott and Bret Nestor and Evan Kim and Wancong Zhang and Anna Goldenberg and Peter Szolovits and Marzyeh Ghassemi


Development and validation of an ensemble machine learning framework for detection of all-cause advanced hepatic fibrosis: a retrospective cohort study

Soren Sabet Sarvestany and Jeffrey C Kwong and Amirhossein Azhie and Victor Dong and Orlando Cerocchi and Ahmed Fuad Ali and Ravikiran S Karnam and Hadi Kuriry and Mohamed Shengir and Elisa Candido and Raquel Duchen and Giada Sebastiani and Keyur Patel and Anna Goldenberg and Mamatha Bhat


Postnatal developmental trajectory of sex-biased gene expression in the mouse pituitary gland

Huayun Hou and Cadia Chan and Kyoko E Yuki and Dustin Sokolowski and Anna Roy and Rihao Qu and Liis Uuskula-Reimand and Mariela Faykoo-Martinez and Matt Hudson and Christina Corre and Anna Goldenberg and Zhaolei Zhang and Mark R Palmert and Michael D Wilson


An Alternative to the Light Touch Digital Health Remote Study: The Stress and Recovery in Frontline COVID-19 Health Care Workers Study

Sarah M Goodday and Emma Karlin and Alexandria Alfarano and Alexa Brooks and Carol Chapman and Rachelle Desille and Daniel R Karlin and Hoora Emami and Nancy Fugate Woods and Adrien Boch and Luca Foschini and Mackenzie Wildman and Francesca Cormack and Nick Taptiklis and Abhishek Pratap and Marzyeh Ghassemi and Anna Goldenberg and Sujay Nagaraj and Elaine Walsh and Stephen Friend


Predicting Malignancy in Pediatric Thyroid Nodules: Early Experience With Machine Learning for Clinical Decision Support

Lebohang Radebe and Daniëlle CM van der Kaay and Jonathan D Wasserman and Anna Goldenberg


Finding associations in a heterogeneous setting: statistical test for aberration enrichment

Aziz M Mezlini and Sudeshna Das and Anna Goldenberg


Assessing therapy response in patient-derived xenografts

Janosch Ortmann and Ladislav Rampášek and Elijah Tai and Arvind Singh Mer and Ruoshi Shi and Erin L Stewart and Celine Mascaux and Aline Fares and Nhu-An Pham and Gangesh Beri and Christopher Eeles and Denis Tkachuk and Chantal Ho and Shingo Sakashita and Jessica Weiss and Xiaoqian Jiang and Geoffrey Liu and David W Cescon and Catherine A O’Brien and Sheng Guo and Ming-Sound Tsao and Benjamin Haibe-Kains and Anna Goldenberg


MP44-18 accurate estimate of split differential renal function using ultrasound alone for infants with hydronephrosis

Marta Skreta and Lauren Erdman and Mandy Rickard and Daniel T Keefe and Michael Chua and Joana Dos Santos and Anna Goldenberg and Armando J Lorenzo


Standardized Reporting of Machine Learning Applications in Urology: The STREAM-URO Framework

Jethro CC Kwong and Louise C McLoughlin and Masoom Haider and Mitchell G Goldenberg and Lauren Erdman and Mandy Rickard and Armando J Lorenzo and Andrew J Hung and Monica Farcas and Larry Goldenberg and Chris Nguan and Luis H Braga and Muhammad Mamdani and Anna Goldenberg and Girish S Kulkarni


Dear watch, should I get a COVID test? designing deployable machine learning for wearables

Anna Goldenberg and Bret Nestor and Jaryd Hunter and Raghu Kainkaryam and Erik Drysdale and Jeffrey Inglis and Allison Shapiro and Sujay Nagaraj and Marzyeh Ghassemi and Luca Foschini


Better Understanding of the Metamorphosis of Pregnancy (BUMP): protocol for a digital feasibility study in women from preconception to postpartum

SM Goodday and E Karlin and A Brooks and C Chapman and DR Karlin and L Foschini and E Kipping and M Wildman and M Francis and H Greenman and Li Li and E Schadt and M Ghassemi and A Goldenberg and F Cormack and N Taptiklis and C Centen and S Smith and S Friend


Assessment of Machine Learning–Based Medical Directives to Expedite Care in Pediatric Emergency Medicine

Devin Singh and Sujay Nagaraj and Pouria Mashouri and Erik Drysdale and Jason Fischer and Anna Goldenberg and Michael Brudno


Identification of Optical Coherence Tomography Phenotypes and Their Relationship with Patient Outcomes in Youth With Demyelinating Syndromes: Preliminary Results of an Unsupervised Machine Learning Analysis

B Ciftci-Kavaklioglu and C Kavaklioglu and L Erdman and A Goldenberg and T Berenbaum and F Costello and J Mah and A Reginald and B Banwell and G Longoni and A Yeh