Glen Charlton
Position:
Lead Data Scientist
Academic Background:
MSc, Electronics / Biomechanics
BEngSci. Electronics / Sports Technology
Bio:
Glen holds a BSc in Engineering Science and MSc in Science by Research. He has over 10 years of experience in applying Data Science and Electronics Engineering to commercial and research projects in the fields of Health Sciences, Sport Science, Environmental Management and Animal Science. Glen established a research track record demonstrating the application of data science within projects at the University of New England. Glen has a number of published articles and is involved in conference submissions in the application of Data Science in multiple disciplines. Glen’s professional interests are in applying Data Science and other technology solutions to improve the efficiency and increase the capability of research projects to conduct novel and practically relevant research. Specifically, Glen has extensive experience working on research projects involving time-series sensor data, real-time data pipelines, deep learning with image data and applying agentic LLM processes for both research and productivity. As Intersect’s Lead Data Scientist, Glen oversees the Data Science services provided by Intersect’s Advanced Analytics & AI (3AI) Platform and the Data Science Team.
Expertise:
4602 (Artificial intelligence)
4603 (Computer vision and multimedia computation)
4605 (Data management and data science)
4611 (Machine learning)
4009 (Electronics, sensors and digital hardware)
3103 (Ecology)
4207 (Sports science and exercise)
3003 (Animal production)
Personal Interests:
Working with researchers to develop novel insights within data intensive research projects especially through the use of sensors and image recognition technology.
