Millen J. TheophilusDigital health and wearable-sensor methods

About

Researcher working at the boundary of wearable sensing, measurement science, and digital health.

I am an MSCA Network Fellow and Doctoral Candidate in the School of Sport, Exercise and Health Sciences at Loughborough University.

My research focuses on wearable sensors and accelerometric profiling of movement behaviours. I am particularly interested in developing and validating physical activity measurement algorithms that improve how movement behaviours are measured and connected to health.

Wearable sensorsAccelerometryValidationMovement behaviour

Loughborough University

School of Sport, Exercise and Health Sciences

Research groups and centres: Lifestyle for Health and Wellbeing, and the Centre for Lifestyle Medicine and Behaviour.

Loughborough UniversityUniversity profile

Doctoral focus

Advanced data analysis for assessing 24/7 movement behaviours.

  • Benchmark wearable devices and algorithms.
  • Assess signal and feature comparability across devices.
  • Support reproducible methods for 24-hour movement behaviour analysis.

LABDA

Learning Network for Advanced Behavioural Data Analysis

I am a member of LABDA, an MSCA Doctoral Network supported through Horizon Europe. The network brings together 13 PhD fellows across five countries to develop open-source tools for advanced analysis of movement behaviours captured by wearable sensors.

LABDA project

Professional pathway

Experience

MSCA Network Fellow

Loughborough University. Project grant agreement no. 101072993.

Secondment

ActivInsights Ltd., Kimbolton, UK. Work on COEL v2.0 and open-source R packages for raw accelerometer data processing aligning with COEL v2.0, a data standard for interoperable behavioural health data.

Education

Education

Doctoral Candidate

Loughborough University, School of Sport, Exercise and Health Sciences. Supervisors: Prof Dale Esliger, Dr Andrew Kingsnorth, Prof Mai Chinapaw, and Prof Lauren Sherar.

MSc Sport Biomechanics

Loughborough University, completed with distinction.

BSc Exercise and Sport Sciences

Manipal Academy of Higher Education, India.

Professional development

Relevant Programmes

A Short Introduction to Method Verification and Validation

NPL Training, National Physical Laboratory. Certificate of completion.

Python Workshop 2025

Loughborough University. Python for Scientific Computing and Artificial Intelligence.

Machine Learning of Wearables in Large Scale Biomedical Studies

Jesus College, University of Oxford, Oxford.