Curriculum Vitae — 2026

Grant
Trewartha

PhD · BSc · FHEA · AgilePM

R&D Leader; Academic & Industry Expertise

Applying a broad skillset to health innovation and technology development — bridging research excellence with commercial product delivery.

granttrewartha@outlook.com
+44 7723 620794
United Kingdom
Grant Trewartha
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00

At a Glance

80+
Research Articles Published
33
H-Index (Google Scholar)
£1.5M
Research Funding Secured
6
Patents (Smart Insole Technology)
01

Experience

2023 — Present
Teesside University
tees.ac.uk
Professor of Digital Health Interventions
  • Research focus on remote patient monitoring of balance, falls risk, and AI clinical decision support
  • Secured external funding from Academy of Medical Sciences, NIHR Team Science, and EPSRC NortHFutures
  • REF Unit of Assessment 3 Lead and active PhD supervisor
  • Developing Centre for Healthcare Innovation at Teesside University
  • Contributing to live integration of AI Triage in NHS settings (with Visiba Ltd)
2016 — 2023
NURVV Ltd
nurvv.com
Head of Research
  • Led scientific R&D into wearable technology products for sport and healthcare markets; shaped company strategy and product roadmap
  • Co-created sensor algorithms and app features for NURVV Run and NURVV Health products — developed 6 patents on "smart insole" technology
  • Directed complex product testing programs with partners including NPL, SATRA, English Institute of Sport, and multiple UK/US universities
  • Supervised 2 PhD students (Wearable Technology and Machine Learning analysis of running)
  • Guided pivot into healthcare applications through research insights and commercial strategy
2001 — 2016
University of Bath
Dept for Health
Reader / Associate Professor / Assistant Professor
  • 80+ research articles, 120+ conference presentations, H-Index = 33; £1.5M research funding secured (2005–2016)
  • Led the Injury Prevention Research Group — work influenced sport governing body policy internationally and produced demonstrable reductions in catastrophic spinal and concussion injuries in rugby
  • Supervised 13 PhD, 20 MSc, and 80 BSc students over 15 years of lecturing and teaching
  • Programme Director for BSc/MSci Sports Science — improved student experience, developed new degree pathways
  • Recognised with Universities UK "Made at Uni" award for public impact of research
02

Core Competencies

Innovation, Strategy & Process
  • Full product development lifecycle from ideation through market delivery
  • Qualified AgilePM practitioner; embedded Agile processes at NURVV
  • Principal Investigator — idea generation, funding, collaborations, publications
  • Academic programme management: designed new degree pathways at University of Bath
Leading Research & Development
  • Key role across multiple cycles of feature planning, build and review for wearable products
  • Managed interdependent testing programs across international partner networks
  • Applied research with quantifiable real-world policy impact in sport and healthcare
  • Experienced in both experimental and epidemiological research methodologies
Managing & Mentoring People
  • Built diverse, high-trust R&D teams through structured 1-to-1s and open culture
  • Extensive mentoring of early-career researchers and degree-level students
  • Cross-functional collaboration across product, engineering, firmware, app dev and marketing
  • Effective stakeholder and investor communication at executive level
Data Science & Programming
  • 25-year quantitative research career; Python as primary environment (Pandas, NumPy, Scikit-learn)
  • 20 years Matlab experience; signal processing, sensor algorithms, time series analysis
  • Machine learning supervision: hierarchical clustering and neural networks for biomechanics
  • Developing aptitude with Anvil web apps, Kotlin, and Claude Code / AI tooling
03

Technical Skills

Industry Knowledge
R&D Leadership Agile PM Wearable Technology Remote Patient Monitoring Multimodal AI Triage Product Development Biomechanics Sensor Design & Testing Injury Prevention Technology Assessment Innovation Strategy Team Management Stakeholder Pitches Media Engagement
Technical & Scientific
Python Matlab R Machine Learning Signal Processing Biomechanics Measurement IMUs / MoCap / GNSS Musculoskeletal Simulation Data Visualisation Statistics Materials Testing (Instron) Anvil Web Apps Physical Computing (Pi Pico) Blender / Maya
Additional
Product QA Testing UX Testing App Feature Logic & UI Presentation Skills ECB Cricket Coach Lvl 2 Football Coaching & Admin Full Driving Licence (UK)
04

Education & Qualifications

Jan 2026
AI in Healthcare Executive Program
MIT Sloan School of Management
May 2016
Agile PM Foundation & Practitioner
APMG International
July 2001
PhD in Biomechanics
Loughborough University — "Marker-free Tracking of Motion"
July 1997
BSc Sports Science — First Class Honours
Loughborough University
05

Current Projects

Unobtrusive Clinical Decision Support Tools — active research at Teesside University

Frailty Virtual Wards — remote patient monitoring
EPSRC NortHFutures
01

Frailty Virtual Wards

Remote monitoring and AI clinical support for patients at home. Using wearable biosensors to continuously track physiological state, enabling proactive intervention without hospital admission.

AI Triage Models — multimodal clinical decision support
Academy of Medical Sciences · Visiba Ltd
02

AI Triage Models

Integrating multimodal physiological and contextual data — including symptom details, demographics, remote vitals and patient history — to output care navigation, urgency scoring and diagnosis support in live NHS settings.

Community Integration post Hip Fracture
NIHR Team Science
03

Community Integration post Hip Fracture

Examining social and community integration measures as part of hip fracture recovery, moving beyond clinical outcomes to capture what matters most to patients during rehabilitation and return to daily life.

COPD Balance — musculoskeletal simulation
Teesside University
04

COPD Balance

Investigating balance recovery mechanisms and interventions for people living with COPD. Using musculoskeletal simulation and wearable sensor data to characterise postural control deficits and identify effective therapeutic targets.