Clinical AI research leader for regulated medical-device programmes
I lead clinical AI programmes from protocol design and statistical analysis plans through validation, stakeholder reporting, and FDA/CE MDR evidence across biosignals, imaging, and regulated deployment.
Based in France · collaborating across Europe and North America
Four programmes showing end-to-end clinical delivery, regulatory strategy,
and research leadership, from protocol design through validation and
stakeholder reporting.
Cardiac ultrasound AI: research direction and regulatory strategy
Head of Research · DESKi
Set research direction and validation strategy for cardiac ultrasound AI under FDA and EU device regulation.
Research direction
FDA · CE MDR
Team lead
Lead a team of three; report to CPO; align research milestones with FDA PCCP and CE MDR submission timelines.
Build clinical validation documentation and evidence packages; coordinate AI, clinical, and regulatory functions.
Clinical trial programmes: PAD and lung cancer (SEPARATE, E-SEPARATE, INSPECT)
Machine Learning Lead · Sensome
Owned three clinical trial programmes end to end, from protocol design and statistical analysis plans to stakeholder reporting.
Protocol design
Clinical delivery
PVI · JET · ATS
Clinical protocol design and statistical analysis plans for SEPARATE, E-SEPARATE, and INSPECT; first author on PAD abstracts (PVI 2024, JET OPEN 2025).
INSPECT: ML analysis lead; ATS 2026. Reported to Scientific Advisory Board, CROs, and clinical investigators across Belgium, Australia, and France.
Research foundation: cognitive neuroscience and language
PhD researcher · NeuroSpin / Sorbonne University
PhD research on how humans and language models process language, informing translational clinical AI strategy.
Research depth
Cortex 2026
EMNLP 2023
First author, Cortex (Elsevier): MEG/EEG decoding during reading showed hierarchical sentence structure; local transitions and agreement congruity were not decodable.
First author, EMNLP 2023 (top 14% of submissions): grammatical agreement in humans and language models.
Five outputs across clinical trial delivery, lung oncology, psychiatric
validation, cognitive neuroscience, and computational linguistics.
Peer-reviewed journal
Disentangling Hierarchical and Sequential Computations during Sentence Processing
n=22; combined MEG and EEG during sentence reading. Only hierarchical structure was decodable from brain signals; transition and congruity stayed at chance. A two-layer LSTM on the same sentences showed all three effects decodable.
Human MEG/EEG (left): structural effect only; transition and congruity at chance. LSTM (right): structural, transition, and congruity effects decodable. Zacharopoulos, Dehaene, Lakretz, Cortex 2026.
Cortex (Elsevier)
2026
First author · corresponding author
Conference paper
Assessing the influence of attractor-verb distance on grammatical agreement in humans and language models
Rapid serial visual presentation agreement task (n=34): humans and language models err more with proximal attractors; linear response-time effect of distance; GPT-Neo-1.3B and grammar-corrected T5 compared to humans.
Human and language-model error rate and response time by attractor distance and grammaticality (from paper; fig. 2).
EMNLP 2023 (Empirical Methods in Natural Language Processing), main track
2023
First author
Clinical abstract
In vivo identification of clot rich in red blood cells in peripheral arterial disease (SEPARATE study)
In vivo clinical validation (n = 17); 100% primary endpoint success for lesion impedance data. Clot identification in peripheral arterial disease (tissue rich in red blood cells).
Also presented at Paris Vascular Insights (PVI) 2024, Paris
JET OPEN the world 2025, Osaka
2025
Clinical · in vivo
First author
Clinical abstract
In situ lung tissue characterisation during bronchoscopic biopsy (INSPECT study)
Machine learning (ML) tissue classification during bronchoscopic lung biopsy; 26 patients across Australia and France.
American Thoracic Society (ATS) 2026 International Conference
2026
Clinical · first in human
Conference abstract
Third author · ML analysis lead
Conference poster
Transprognostic treatment-response prediction across depression, ADHD, OCD, and PTSD
Major depressive disorder, ADHD, OCD, and PTSD; external validation on unseen clinical cohorts (TRIPOD Type 4); ranked first in the TDBRAIN international competition.
6th Neuropsychiatric Drug Development Summit, Boston
2022
Clinical · external validation (unseen cohort)
Third author · biosignal and imaging feature extraction lead
Ph.D. in cognitive neuroscience · Sorbonne University / NeuroSpin · supervised by Prof. Stanislas Dehaene
PhD-trained research leader. I have directed teams and owned end-to-end delivery across three full-cycle clinical trial programmes (SEPARATE, E-SEPARATE, INSPECT), from clinical protocol design and statistical analysis plans through analysis, Scientific Advisory Board reporting, and regulatory-facing evidence. Current focus: cardiac ultrasound AI at DESKi under FDA PCCP and CE MDR.
Education
Training
Ph.D. in Cognitive Neuroscience
Sorbonne University / NeuroSpin (Unicog Lab, CEA Paris-Saclay)
Thesis: On the dissociation of structural and linear operations in sentence processing. Supervisor: Prof. Stanislas Dehaene.
Paris, France
2018–2022
Research Master (M2) in Cognitive Neuroscience
Donders Institute, Radboud University
Thesis: Reconstructing the perceptual organization of sound from neural responses.
Nijmegen, Netherlands
2015–2017
Ptychion (M1 equivalent) in Physics
Aristotle University of Thessaloniki
Specialisation: Analysis and applications of EEG: Theory & Practice.
Thessaloniki, Greece
2010–2015
Collaboration
Collaboration
I work with clinical investigators, regulatory specialists, and ML engineers on in vivo catheter lab trials, ex vivo histology validation studies, psychiatric clinical trial cohorts, and cardiac imaging R&D. Recent delivery spanned Belgium, Australia, and France (peripheral arterial and first in human lung studies); psychiatric biomarker work drew on pooled international trial cohorts.
Based in Paris. Career across Greece, the Netherlands, and France; comfortable with distributed teams, including remote collaboration with US partners. Clinical abstract outputs include Paris Vascular Insights (PVI), JET OPEN (Osaka), and American Thoracic Society (ATS, Orlando).
Contact
Get in touch
For research leadership, regulated medical AI, collaborations, invited talks, or consulting, email with a subject line below (opens your mail client).