Curriculum Vitae
Current Position
Postdoctoral Researcher, Nuffield Department of Clinical Neurosciences, University of Oxford (May 2024 – present). I drive and contribute to the long-term strategy for digital biomarker research in Parkinson’s disease, integrating passive and active sensing modalities — smartphones, wearables, neuromotor pen, gait analysis systems, and clinical questionnaires — with a roadmap toward neuroimaging and biofluid biomarker integration. I coordinate a global network of research projects across 20+ sites on 5 continents, and contribute to the development of ML models for disease progression characterisation and patient subtyping.
Education
PhD, Health Engineering — Université Grenoble-Alpes / Orange Labs (2017–2020)
Thesis: Digital phenotyping of behavioural rhythms from mobile phone metadata. Supervisors: Prof. N. Vuillerme & Prof. J. Demongeot.
MSc, Applied Mathematics (Statistics & Data Science) — Université Grenoble-Alpes (2017)
BSc, Mathematics & Computer Science — Université Grenoble-Alpes (2015)
Previous Experience
AI Innovation Senior Engineer, Verkor, Grenoble (2023–2024). Predictive ML pipelines for real-world battery cell performance forecasting during gigafactory scale-up; production monitoring and drift detection frameworks.
Application Engineer – Data Scientist, Araymond Networks, Grenoble (2021–2023). AI-based anomaly detection for manufacturing quality control in real-world production environments, within a startup incubator accelerating translation from scientific AI to field deployment.
Postdoctoral Researcher, Université Grenoble-Alpes (2021). Wearable accelerometer-based gait phenotyping using ensemble learning. 2 publications; 1 patent; MSc intern supervision.
PhD Researcher, Orange Labs / Université Grenoble-Alpes (2017–2020). Statistical methods for circadian rhythm and social biomarker extraction from call detail records in elderly populations. 8+ publications; intern supervision.
Teaching & Supervision
I currently mentor a DPhil student in Medical AI at the University of Oxford. In July 2026, I will serve as a Faculty Instructor at the OICSD–UPL Faculty Visit to Oxford, hosted by the Oxford India Centre for Sustainable Development, Somerville College, with a focus on AI, pedagogy, and research-led teaching. I previously supervised MSc interns at Orange Labs / Université Grenoble-Alpes (2017–2020) and École Centrale Paris (2020).
Selected Publications
Aubourg, T. et al. Identifying and predicting fast vs slow motor progressors in Parkinson’s disease using clinical and digital data. BMJ Neurology Open (2026, under review).
Gunter, K., Aubourg, T. et al. Smartphone-based prediction of dopaminergic deficit in prodromal and manifest Parkinson’s disease. npj Digital Medicine (2025).
Aubourg, T., Demongeot, J. & Vuillerme, N. Gaining insights into the estimation of circadian rhythms of social activity in older adults from telephone call activity with statistical learning. JMIR 23, e22339 (2021).
Aubourg, T., Demongeot, J. & Vuillerme, N. Novel statistical approach for assessing the persistence of circadian rhythms of social activity from telephone call detail records. Scientific Reports 10, 21464 (2020).
Aubourg, T., Demongeot, J., Renard, F., Provost, H. & Vuillerme, N. Association between social asymmetry and depression in older adults: a phone Call Detail Records analysis. Scientific Reports 9, 13524 (2019).
Aubourg, T., Provost, H. & Vuillerme, N. Method for estimating consistency of circadian rhythms from telephone call records (Patent, 2022).
Full list available via Google Scholar and ORCID 0000-0002-0151-6397.
Awards & Distinctions
| 2026 | Finalist, Oxford Clinical AI Hackathon — Communication Challenge, Agentic AI track (Jesus College, Oxford) |
| 2026 | Scholarship, Oxford Clinical AI Hackathon, AI Competency Centre |
| 2025– | Reproducible Research Oxford Local Network Lead Liaison |
| 2024–25 | FAIRsharing Community Champion, University of Oxford |
| 2024 | Open and Responsible Research Scholarship, Berlin School of Public Health |
| 2019 | EIT Health Translational Fellow, Oxford |
| 2019 | EIT Health Judges' Award, Oxford |
| 2018 | Medical Faculty Presentation Award, Université Grenoble-Alpes |
Service
| Peer reviewer | JMIR, JMIR mHealth & uHealth, Scientific Reports, npj Digital Medicine |
| Reproducible Research Oxford | Local Network Lead Liaison (2025–present) |
| FAIRsharing | Community Champion, University of Oxford (2024–25) |