My background is in mathematics and statistics, and I am working on a PhD which focuses on variable selection in longitudinal data. I am also interested in using machine learning methods to do classification, such as Random Forests, Support Vector Machine and so on.
Longitudinal Data Analysis
Robust generalized estimating equations for the analysis of longitudinal data
What if farmers could tell if one of their livestock was sick, without even being around the animal? Farmers are now using inertial motion sensors to study grazing behaviour. But the challenge is interpreting all the data those sensors provide. New research led by ACEMS PhD candidate Shuwen Hu reveals which machine learning methods are best suited to handle the problem.