Ward Abdelhafez

Parkinson’s Disease Detection Using Gene Expression - Developed a machine learning pipeline to detect early Parkinson’s Disease using the GSE99039 gene expression dataset (550 samples, ~54,000 genes). - Preprocessed data with GEOparse and Pandas, selected top 1000 high-variance genes, and trained a Random Forest classifier, evaluating performance with ROC AUC. - Identified potential gene biomarkers, advancing early detection strategies for neurodegenerative disorders.

Using biopolymers to enhance air filtration In my master’s thesis, I developed sustainable nanofiber filters using eco-friendly biopolymers like silk and chitosan. I optimized filter efficiency with water-based solvents, focusing on scalability for industrial use. Data-driven analysis improved performance while reducing energy use. This work supports sustainable air purification for medical and industrial applications, showcasing my skills in biomaterials, process optimization, and environmental engineering

Ink Jet Printing of Silica Nanoparticles for Biosensor Applications Developed a prototype biosensor that demonstrated enhanced sensitivity for detecting specific analytes. This achievement validated our approach to nanoparticle synthesis and inkjet printing while showcasing the potential for scalable, cost-effective biosensor production in future applications.

Relative Quantification on of Genes in B-cell Differentiation: Idenfied critical factors and their expression patterns that drive B-cell maturation and differentiation. These findings enhanced our understanding of B-cell biology and established a foundation for potential therapeutic strategies in immunology, contributing meaningfully to the field’s broader research objectives.

I developed and validated ECG signal interpretation algorithms, improving atrial fibrillation detection accuracy by up to 80%. I enhanced the company website’s backend and performed bug detection and software updates for the medical application. I also conducted quality control testing on ECG cables to meet DIN/ISO standards, developing protocols to validate electrical resistance and signal integrity.

Specializing in 3D bioprinting and biomaterials during my Master's in Biofabrication at the University of Bayreuth, I gained practical experience through lab work and research projects, culminating in a thesis on advancing medical engineering solutions.

During the time at Hochschule Ulm, I focused on surgical therapy, microcontrollers applications, and Biotechnology

During my Bachelor’s at GJU, I specialised in Biomedical Engineering, taking courses such as Automa c Control Systems and Biomechanics. My thesis, presented at Personal MedSystems GmbH, involved developing a validated atrial fibrillation diagnosis algorithm that competed with physicians. Afterward, I completed an exchange year at THU, where I gained hands-on experience in surgical therapy and embedded systems design for microcontroller applications.