Christos Zacharopoulos, Ph.D.

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

  • DESKi
  • Sensome
  • NeuroSpin
  • EMNLP
  • Cortex
  • PVI
  • JET OPEN
  • ATS
Portrait of Christos Zacharopoulos

Highlights

Work across four areas

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.

Psychiatric biomarker programme: external validation at scale

Principal ML Engineer · Sama Therapeutics

Led biosignal strategy and feature extraction for a transprognostic treatment-response programme validated on unseen clinical cohorts.

  • Programme lead
  • External validation
  • 12,000+ subjects
  • Led data scientists and engineers; reported to CEO and CSO; disseminated results to Scientific Advisory Board and clients.
  • TRIPOD Type 4 external validation; ranked #1 in TDBRAIN international competition across four psychiatric indications.

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.

Publications

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.

Decoding plots comparing human MEG data and an LSTM language model for grammatical number and animacy during sentence reading
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.

Error rate and response time for humans, GPT-3, and T5 across baseline, distal, and proximal attractor conditions
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

Background

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.

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

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).

Get in touch

For research leadership, regulated medical AI, collaborations, invited talks, or consulting, email with a subject line below (opens your mail client).

Or write directly: christonik@gmail.com