Energy metabolism modelling with sensitivity to activity thermogenesis tracking data

This research initiative aims to develop more accurate mathematical models of human energy metabolism. The
company FitMyLife Health Analytics aims to use the models to help its customers establish behaviour patterns
to achieve health goals, such as increased fitness, increased health and weight loss. The models ensure that
customers’ decisions are rooted in an accurate understanding of the unique aspects of their own body’s metabolism and their individual physical activities. Commonly available fitness tracking devices (such as fitbits,
for example) and newly developed dietary tracking apps provide detailed information that has not been
accessible in previous models. This research project will use these new technologies to develop an improved
tool for human fitness management.

Faculty Supervisor:

Thomas Hillen

Student:

Partner:

Fitmylife Health Analytics

Discipline:

Mathematics

Sector:

Information and cultural industries

University:

University of Alberta

Program: