CV
Neuroscientist · Data Scientist · Sleep Expert
10+
years in research
€515k+
funding secured
10
peer-reviewed publications
PhD-trained neuroscientist and data scientist with ~10 years of experience analyzing complex biomedical and sleep data and developing scalable pipelines. Expert in Python-based analysis of EEG, cardiac, and sensor signals; focused on algorithm development, model validation, and translating insights into actionable digital-health solutions.
Skills
Technical
Python
R
MATLAB
SQL
Git
LaTeX
Machine learning
Scikit-Learn
PyTorch
(Un)supervised
Deep learning
Model validation
Cloud / MLOps
Google Colab
AWS
Data pipelines
Workflow automation
Data analysis
Statistical modeling
Regression
Multilevel models
Time-series
Domain
Sleep science
M/EEG
fMRI
HRV
Biosensors
Digital health
Sleep-disorder detection
Languages
Arabic native
English fluent
German B2
French basic
Experience (click to expand)
Nov 2025 — present
Nov 2025 — present
- Developing physiological biomarkers to enhance early identification of subclinical sleep apnea and support clinical decision-making.
- Applying advanced machine learning to generate interpretable insights into sleep physiology and inform data-driven healthcare decisions.
Apr 2024 — Oct 2025
Apr 2024 — Oct 2025
- Guided junior researchers and team members in complex ML and signal-processing projects.
- Developed automated ML pipelines for data analysis, reducing analysis time by 25% and supporting downstream validation.
- Built reproducible, well-documented workflows to streamline data management and ensure efficient knowledge transfer.
Oct 2022 — Feb 2023
Oct 2022 — Feb 2023
- Built end-to-end pipelines combining computational modeling, simulations, and ML for neural signal analysis.
- Published open-source neural-data analysis frameworks on GitHub, adopted by multiple research projects.
Mar 2017 — Mar 2024
Mar 2017 — Mar 2024
- Designed and validated scalable pipelines for EEG, fMRI, EOG, ECG, and actigraphy datasets.
- Developed ML-based feature extraction and classification algorithms for sleep and cognitive biomarkers.
- Performed data analyses supporting regulatory and clinical validation of sleep-monitoring algorithms (65+ citations).
- Led multi-site international collaborations, resulting in 3 publications.
- Secured €160k in PhD and postdoctoral funding.
Mar — Aug 2019
Mar — Aug 2019
- Evaluated performance of a biometric sleep-monitoring device, informing diagnostics strategy and product improvement.
- Delivered data-analysis reports to R&D stakeholders, influencing product-development roadmap.
2015 — 2017
2015 — 2017
- Senior pharmacist, S.A.T Pharmacies, Egypt — oversaw daily operations and patients' treatment plans. Oct 2016 – Feb 2017
- Research Assistant, University of Cambridge, UK — neuroimaging analyses on cognition and sleep. Feb – Jul 2016
- Research Assistant, University Clinic Freiburg, Germany — structural brain alterations in epilepsy patients. Sep 2015 – Jan 2016
Education
2024
PhD, Cognitive Neuroscience
University of Salzburg, Austria
2016
MSc, Neuroscience
University of Strasbourg, France
2013
BSc, Pharmacy
Cairo University, Egypt — recognized as equivalent by University of Vienna, Austria
Fellowships & Awards
€350k
ESPRIT Fellowship — Austrian Science Fund (FWF) · Early-career independent research project
2026
€45k
Postdoctoral Fellowship — Salzburg University · Early-career independent researcher
2024
€6k
Young Investigator Award — German Sleep Society (DGSM)
2023
€115k
DOC Doctoral Fellowship — Austrian Academy of Sciences (ÖAW)
2019
Outreach & Teaching
- 8 oral presentations and 15+ poster presentations at international conferences · 2017–2025
- Guest Editor, Frontiers in Sleep — Understanding Conscious Experience during Sleep · 2024–present
- Guest Lecturer, University of Salzburg — EEG Analysis & Neuropsychology of Consciousness · 2023–2024
- Guest Lecturer, EFPSA — Workshop on the Neuroscience of Dreams · 2022