Frank Rudzicz

Faculty Member

Associate Professor, Faculty of Computer Science, Dalhousie University

Associate professor (Status Only), Department of Computer Science, University of Toronto

Canada CIFAR Artificial Intelligence Chair

Frank Rudzicz is an Associate Professor in the Faculty of Computer Science at Dalhousie University. His research is in machine learning in healthcare, especially in natural language processing, speech, and safety. Frank completed his PhD in the Department of Computer Science at the University of Toronto and his Master’s in Electrical and Computer Engineering from McGill University. Frank is also the co-founder of several health+AI companies, some of which, like WinterLight Labs, have seen successful exits. He teaches courses on data mining, deep speech technologies, and ML in clinical medicine.

Research Interests

  • Natural Language Processing
  • Machine Learning
  • Healthcare
  • Speech Technologies
  • Explainable AI
  • Fairness in Machine Learning


  • Co-founded WinterLight Labs
  • Recipient, Connaught Innovation award
  • Recipient, Early Researcher Award, Ontario Ministry of Research, Innovation and Science
  • Recipient, Excellence in Applied Research award, National Speech-Language & Audiology Canada
  • President, Joint Special Interest Group of the Association for Computational Linguistics (ACL) and the International Speech Communication Association (ISCA), 2015-present
  • Member, CIHR College of Reviewers
  • Appeared in the New York Times, the Globe & Mail, Wired, Maclean’s, Space, CTV News, CBC News, the Toronto Star, Nature, and Scientific American.


Comparing pre-trained and feature-based models for prediction of Alzheimer’s disease based on speech

Aparna Balagopalan and Benjamin Eyre and Jessica Robin and Frank Rudzicz and Jekaterina Novikova


Coughwatch: Real-world cough detection using smartwatches

Daniyal Liaqat and Salaar Liaqat and Jun Lin Chen and Tina Sedaghat and Moshe Gabel and Frank Rudzicz and Eyal de Lara


Machine Learning–Based Prediction of Growth in Confirmed COVID-19 Infection Cases in 114 Countries Using Metrics of Nonpharmaceutical Interventions and Cultural Dimensions: Model Development and Validation

Arnold YS Yeung and Francois Roewer-Despres and Laura Rosella and Frank Rudzicz


Using machine learning to predict children’s reading comprehension from linguistic features extracted from speech and writing.

Jeanne Sinclair and Eunice Eunhee Jang and Frank Rudzicz


Grad2Task: Improved Few-shot Text Classification Using Gradients for Task Representation

Jixuan Wang and Kuan-Chieh Wang and Frank Rudzicz and Michael Brudno


Intraoperative Adverse Event Detection in Laparoscopic Surgery: Stabilized Multi-Stage Temporal Convolutional Network with Focal-Uncertainty Loss

Haiqi Wei and Frank Rudzicz and David Fleet and Teodor Grantcharov and Babak Taati


Deep Learning for Voice Gender Identification: Proof‐of‐concept for Gender‐Affirming Voice Care

Yael Bensoussan and Jeremy Pinto and Matthew Crowson and Patrick R Walden and Frank Rudzicz and Michael Johns III


Predicting Fine-Tuning Performance with Probing

Zining Zhu and Soroosh Shahtalebi and Frank Rudzicz


Population-based incidence of invasive pneumococcal disease in children and adults in Ontario and British Columbia, 2002–2018: A Canadian Immunization Research Network (CIRN) study

Sharifa Nasreen and Jun Wang and Jeffrey C Kwong and Natasha S Crowcroft and Manish Sadarangani and Sarah E Wilson and Allison McGeer and James D Kellner and Caroline Quach and Shaun K Morris and Beate Sander and Julianne V Kus and Monika Naus and Linda Hoang and Frank Rudzicz and Shaza Fadel and Fawziah Marra


1211. Incidence of All-Cause Community-Acquired Pneumonia in Ontario and British Columbia, Canada, 2002-2018; a Canadian Immunization Research Network (CIRN) study

Sharifa Nasreen and John Wang and Jeffrey Kwong and Natasha S Crowcroft and Manish Sadarangani and Sarah Wilson and Allison McGeer and James D Kellner and Caroline Quach and Shaun Morris and Shelly Bolotin and Beate Sander and Monika C Naus and Linda Hoang and Frank Rudzicz and Shaza A Fadel and Fawziah Marra


System, method, and computer program for cognitive training

Frank Rudzicz and Kathleen Fraser and Liam Kaufman and Maria Yancheva


An Evaluation of Disentangled Representation Learning for Texts

Krishnapriya Vishnubhotla and Graeme Hirst and Frank Rudzicz


A machine learning approach to chronic obstructive pulmonary disease exacerbation identification and readmission risk quantification

Reza Fakhraei and Lanujan Kaneswaran and Frank Rudzicz and Andrea Gershon and Robert Wu


Hierarchical cnn-transformer based machine learning

Chantal Shaib and FENG Jinyue and Frank Rudzicz