Clinician Scientist · Neurology · Cognitive Neuroscience · Data Science

From subtle signals
to earlier answers.

Scientific vision

From population-level risk to decisions that matter for individual patients.

My goal is to build interpretable and accessible pathways that combine clinical judgement with digital cognitive phenotyping and the reach of data science.

Risk stratificationDigital phenotypeClinical validation
Academic profile

Clinical questions.
Quantitative answers.

Younes Adam Tabi is a physician and clinician scientist in neurology at University Hospital Schleswig-Holstein in Kiel. His work combines experimental cognitive neuroscience, digital assessment and population-scale health data to improve early detection and risk stratification in neurodegenerative disease.

Clinical NeurosciencesDPhil/PhD, University of Oxford
Medicine & NeurologyPhysician · specialist training in neurology
PsychologyBSc and MSc Psychology
Data ScienceMSc Data Science
Health ManagementMaster of Health Business Administration
EducationMA Education and Media
MethodsBayesian modelling · causal inference · EHR analytics · digital phenotyping
FundingDFG Clinician Scientist Programme · competitive scholarships and project funding
01 / Research focus

Better questions.
Connected evidence.

My work sits at the intersection of cognitive neurology, computational science and real-world clinical data.

A

Early detection

Sensitive cognitive markers for Alzheimer’s disease before conventional tests become decisive.

MisbindingSpatial memoryDigital tests
B

Population intelligence

Real-world health data to identify risk groups, temporal patterns and clinically meaningful trajectories.

EHRRisk modellingCausal inference
C

Translational systems

Connecting cognition, imaging, genetics and microbiota in models designed to support real decisions.

MultimodalBayesianPrecision neurology
02 / Verified work

Publications & projects.

Peer-reviewed publications

Current projects

Remote tablet assessment combining object–location memory with risk modelling; pilot N=131 with planned scale-up.

Lifelines-based analysis of age-dependent cognitive performance in APOE groups.

Integration of cognitive phenotyping, imaging, stool and salivary microbiome data.

Federated EHR analysis linking sleep phenotypes with Alzheimer’s, Parkinson’s, Lewy body and vascular dementia.

Complementary digital markers designed to capture dissociable cognitive and anatomical deficits.

03 / Scientific vision

Precision neurology should begin before the clinic has all the answers.

I am particularly interested in collaborations connecting longitudinal cohorts, digital biomarkers, multimodal data and clinically grounded validation.

Open to collaboration

Have a cohort, method or question that connects?