The Fields Institute

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 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