Clinical research · Current
Personalized rTMS for treatment-resistant depression
Local coordination of the multicentre DSNATURE study, spanning participant inclusion, clinical procedures, data-quality follow-up and cross-site communication.
Physician-researcher · Paris, France
I connect medical training, neuromodulation trials, MRI-based electric-field modelling and scientific communication to make brain-stimulation research more precise and clinically interpretable.
Profile
My path runs from medicine and neurosurgical training through preclinical neurobiology to clinical neuroscience. Today, I work on psychiatric neuromodulation studies and the computational methods used to understand treatment response.
At EPS Ville-Evrard, I coordinate local work on a multicentre rTMS study in treatment-resistant depression, contribute to clinical procedures and protocol development, and analyse tDCS data in schizophrenia.
Alongside this work, I evaluate complex life-science and neurobiology content for AI training, with an emphasis on scientific accuracy, multimodal reasoning and quality control.
Integrated perspective
Medicine anchors the work. Research tests it, teaching makes it understandable, and health law and ethics keep it accountable.
Selected work
A concise selection of current and completed work across neuromodulation, modelling and patient-centred research.
Clinical research · Current
Local coordination of the multicentre DSNATURE study, spanning participant inclusion, clinical procedures, data-quality follow-up and cross-site communication.
Computational neuroscience
A funded prototype combining anatomical MRI, finite-element modelling and machine learning to investigate individualized TMS parameters beyond motor-threshold-only dosing.
Clinical neuroscience
Analysis of a double-blind tDCS trial relating simulated electric-field measures and anatomical variability to PANSS and AHRS outcomes.
Qualitative research
A phenomenological study of how patients with treatment-resistant depression experience motor-threshold calibration, involuntary movement and shared agency.
Capabilities
Protocol development and study delivery grounded in medical training, psychiatric neuroscience, health law, research ethics and clinical-trial regulation.
Mechanism-informed work across non-invasive brain-stimulation modalities and cortical targets.
Workflows connecting individual anatomy, modeled dose and clinical outcomes.
Translation of complex evidence for scientific, clinical, educational and AI-evaluation settings.
Industry relevance
My background connects neuroscience, neuromodulation, TMS/rTMS, tDCS and clinical research with the needs of pharma, biotech, medtech and neurotechnology teams working across CNS clinical development.
Clinical trials and clinical research across neuroscience and neuropsychiatry: protocol development, participant-facing procedures, clinical endpoints, investigator collaboration, multicentre coordination, study delivery and data quality.
Evidence synthesis, non-promotional scientific communication, investigator training, medical writing, neuroanatomy education and translation of mechanistic neuroscience for clinical and cross-functional audiences.
Brain stimulation with TMS, rTMS and tDCS; MRI-based anatomy, SimNIBS, finite-element electric-field modelling, individualized targeting, computational neuromodulation and treatment-response interpretation.
Peer-reviewed publications, meta-analysis, functional neuroscience, functional neuroanatomy, medical and scientific writing, scientific expert review, biomedical AI evaluation and evidence-based communication.
This experience is relevant to Clinical Scientist, Clinical Development, Medical Affairs, Medical Science Liaison (MSL) and Medical Advisor functions; these are areas of professional relevance and transferable expertise, not titles I am claiming to have held.
Research impact
Citation activity and scholarly reach across clinical, computational and educational neuroscience.
Google Scholar · verified 5 September 2026. Citation metrics change over time.
View live Google Scholar profileSelected publications
Published work only. Submitted and under-review manuscripts are intentionally excluded.
Journal of Affective Disorders · 2025 · First author
Anatomical Sciences Education · 2024 · First author
Neurological Sciences · 2020 · First author
Neuroscience Applied · 2024 · Co-author
Experience
EPS Ville-Evrard · INSERM-linked research
Coordinates clinical neuromodulation research in depression and schizophrenia, develops protocols, and connects clinical outcomes with individualized electric-field modelling.
Mercor
Evaluates complex life-science tasks for factual accuracy, multimodal reasoning and scientific quality; contributes specialist prompts, datasets and evaluation guidance.
AP-HP Henri Mondor · INSERM U955
Conducted prospective neuromodulation research from MRI segmentation and SimNIBS simulation to clinical-score correlation in depression and schizophrenia.
CEA NeuroSpin · Université Paris-Saclay · INSERM
Investigated anatomical variability in brain stimulation using 3T MRI, individualized meshes, HCP atlas targets and electric-field simulations.
City University of New York
Contributed to preclinical neuroscience research on taurine, epilepsy, neuroprotection and electrophysiology.
Education & training
2026
2023
2023
2023
2023
2014—2021
Media & expert commentary
Available as a scientific and neuroscience expert for evidence-based interviews, background briefings and expert commentary on neuromodulation, brain stimulation, clinical neuroscience and translational neurotechnology.
Short professional bio
Yassine Yachou is a Paris-based physician-researcher working across neuroscience, clinical neuroscience, neuropsychiatry, psychiatric neuromodulation, clinical trials and MRI-based electric-field modelling. His research includes TMS/rTMS, tDCS, individualized brain-stimulation targeting, SimNIBS/FEM modelling, functional neuroanatomy and patient-centred research.
Interview languages: French, English and Arabic.
Commentary areas
Contact
Open to conversations in clinical research, neuroscience, medical affairs, scientific communication and evidence-focused biomedical AI.