Health Analytics and

Multidisciplinary Modelling

Bioinformatics and big data are revolutionizing healthcare. Mathematical tools are necessary to monitor and predict disease progression using electronic health records (EHRs) or wearable devices (e.g. Fitbit), to improve wait times and scheduling of services (e.g. MRI) and medical procedures, and analyze specific diseases such as diabetes, stroke, and heart failure.

 

Our lab develops analytical tools and trains highly-skilled personnel in the area of health informatics with a focus on modelling, computation, bioinformatics, biostatistics, optimization, data analysis, and experimental design, as well as the medical sciences. 

The Fields Institute

Lab Leader

Huaxiong Huang

Professor

Faculty of Science

Department of Mathematics and Statistics

York University

Contact    Website

Lab Team

Michael Chen

York University

Xin Gao

York University

Aziz Guergachi

Ryerson University

Arvind Gupta

University of Toronto

Kang Lee

University of Toronto

 

Marc Thiriet

Pierre and Marie Curie University - Paris 6 

Naveen Vaidya

San Diego State University

Shixin Xu

Duke Kunshan University

Xiukun Zhao

The Fields Institute 

Industry Partners

Nuralogix logo
Rostrum Medical Innovations Inc. logo
Diabetes Action Canada logo

Postdocs and Graduate Trainees

Neda Aminnejad
PhD Candidate, York University

Azam Dekamin

Master's Candidate, Ryerson University

Nathan Gold

PhD Candidate, York University 

Arman Kahirzi

PhD Candidate, Ryerson University

Hang Lai

PhD Candidate, York University 

Sijia Wu

PhD Candidate, University of Toronto

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Fields CQAM is a pilot project of the Fields Institute and 

funded by the Province of Ontario. 
The views expressed on this website are those of Fields CQAM only and do not necessarily reflect those of the Province.

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