Health Analytics and Multidisciplinary Modelling

The Fields Institute

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.

We also conduct research in partnership with the National Research Council Canada as part of the NRC-Fields Mathematical Sciences Collaboration Centre.

Lab Leader

Image of Huaxiong Huang

Huaxiong Huang

Faculty of Science
Department of Mathematics and Statistics
York University


Industry Partners

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

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

Postdocs and Graduate Trainees

Neda Aminnejad
PhD Candidate, York University

Xiulei Cao
PhD (2016), Eindhoven University of Technology

Yu Chen
PhD (2017), Fudan 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

Kian-Chuan Ong
PhD (2017), University of Nottingham

Sijia Wu
PhD Candidate, University of Toronto