A major contribution of my PhD were the algorithms I developed to predict health outcomes from activity patterns. I generated these algorithms using regression and validated them in clinical trials.
I have used machine learning techniques to detect activities of daily living from patterns in inertial sensor data fused with force sensors. I used Matlab for algorithm development and testing.
I have published in international journals both in medical and engineering fields. I have also written a patent application. Presenting to audiences from different backgrounds is also a strength.
I have experience with a range of software engineering tools and languages including Android development (Java), iOS development (Obj. C), Embedded C, Matlab and Python.
Clinical Trial Design
I designed and ran clinical trials to validate both my data collection hardware and health prediction algorithms with both young health and older adult participants
I developed a wearable device to collect activity pattern data during my PhD. I have since expanded on my hardware development knowledge significantly while working at Vicon Motion Systems.