YOUSSEF MOHAMED HASSAN ALI HUSSIEN

Biotechnology Teaching Assistant | MSc Candidate

Cairo, EG.

About

Highly accomplished Biotechnology Teaching Assistant and MSc Candidate specializing in computational chemistry, AI-driven machine learning, and microfluidic bioengineering for next-generation diagnostic and therapeutic platforms. Proven expertise in developing novel biosensing systems, nano plasmonics, and organ-on-chip technologies, translating complex computational models into clinically viable solutions. Drives translational nanomedicine advancements through physics-informed deep learning frameworks, demonstrating impact in early cancer detection and real-time biomarker analysis.

Work

Ain Shams University

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MSc Candidate & Teaching Assistant in Molecular Biotechnology

Cairo, Cairo, Egypt

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Summary

Currently leading cutting-edge research as an MSc Candidate while serving as a Teaching Assistant, focusing on the development of next-generation diagnostic and therapeutic platforms through computational chemistry, AI, and microfluidic bioengineering.

Highlights

Conducting advanced MSc research on Nano-Optical & AI-Integrated Biosensing for Early Cancer Biomarker Detection, bridging in silico predictions with experimental validation.

Pioneering novel approaches in AI-driven biosensing, nano plasmonic systems, and organ-on-chip technologies to translate complex computational models into clinically viable solutions.

Demonstrating significant impact in early cancer detection, single-molecule imaging, and real-time biomarker analysis through interdisciplinary expertise spanning molecular dynamics to 3D-printed microfluidics.

Delivering engaging lectures and laboratory sessions across Molecular Biology, Genetic Engineering, Cell & Tissue Culture, and Bioinformatics to undergraduate cohorts.

Supervising graduation research projects and mentoring students through experimental design, data analysis, and scientific writing.

King Salman International University

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Teaching Assistant — Molecular Biotechnology

, Egypt, Egypt

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Summary

Provided essential academic support as a Teaching Assistant, delivering biotechnology lectures and laboratory demonstrations while ensuring a safe learning environment.

Highlights

Delivered biotechnology lectures and laboratory demonstrations, enhancing student comprehension and practical skills.

Led student assessment processes and rigorously enforced laboratory safety protocols, ensuring a secure educational setting.

Education

Technische Universität Berlin

Berlin, Germany, Germany
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DAAD Scholar – Research Training Industrial Innovation & Bioengineering

Courses

Designed and fabricated geometry-programmed 3D-printed microfluidic nanoplasmonic chips for real-time cancer biomarker detection from finger-prick blood volumes.

Engineered microfluidic channel architectures to maximize plasmonic field confinement and molecular capture efficiency.

Built AI-based tumour growth and biomarker forecasting models using Python and PyTorch.

Developed a SINP-Chitosan Nanocomposite converting hydrophobic 3D-Printed Microchannels into whole-blood-operable nanoplasmonic biosensors.

Philipps-Universität Marburg

Marburg, Germany, Germany
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Erasmus+ MSc Student Scholar Developmental genetics, cell polarity & morphogenesis

Courses

Conducted developmental genetics experiments and quantitative cell polarity analysis.

Utilized advanced fluorescence microscopy to study cytoskeletal dynamics during morphogenesis.

Established human iPSC-derived lung organoid systems as translational alternatives to animal models.

Developed 3D culture protocols, directed differentiation, and advanced fluorescence imaging techniques.

Ain Shams University

Cairo, Cairo, Egypt
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Master's Diploma Biotechnology Grade: Excellent

Ain Shams University

Cairo, Cairo, Egypt
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BSc Applied Biotechnology & Genetic Engineering Grade: GPA 3.94/4.0, 99%

Awards

Prototypes for Humanity 2025

Dubai Future Foundation

Selected from 3,300+ global applicants (~top 1%, ~30 teams worldwide) to present a 3D-printed single-molecule biosensing platform addressing global health challenges.

DAAD Scholarship

Technische Universität Berlin

Competitive merit award for Research Training in Industrial Innovation.

Erasmus+ Scholarship

Philipps-Universität Marburg / Max Planck-affiliated

Competitive merit award for an exchange researcher program.

Presidential Honors

Egyptian universities

Ranked 1st nationally, recognized among the Top 10 graduates across all Egyptian universities with a GPA of 3.94/4.0 (99th percentile).

Publications

"Process-Integrated MSLA-Printed Microfluidic Platform with Inline UV Photometry, Reactive Surface Functionalisation, and Size-Selective Fractionation for Label-Free Quantification of Hepatocellular Carcinoma Biomarkers"

chemical engineering journal

Under Review in chemical engineering journal (IF 13.2).

A Cost-Performance Index for Nano-Optical Biosensor Evaluation: Systematic Evaluation of Europium-Salicylate Luminescent Platforms for GPC3-Targeted Early HCC Diagnosis

Talana journal

Pathomic Biomarkers Derived from Whole-Slide Histopathology Predict Hepatocellular Carcinoma Progression and Enable GPC3-Linked Tumour Microenvironment Stratification in a Preclinical Experimental Oncology Model

Pathology research & practice

Plasmonic-Al-Organoid (PAO) Framework: Active Learning Reduces FDTD Cost 3.2x.

bioRxiv

Precision oncology at the nanoscale: nano-optical biosensors for early cancer detection.

RSC Advances (Royal Society of Chemistry)

Advancing Biological Imaging: Computational Techniques, AI, and Bioinformatics in Microscopy

Multimedia Tools and Applications

A fluorescent biosensor based on a Zn-gallic acid MOF-embedded epoxy-cellulose thin film for selective and rapid detection of methicillin-resistant Staphylococcus aureus (MRSA) in milk and swab samples

Microchemical Journal

Contribution: Validation, Software, Formal analysis, Data curation.

Chitosan-confined selenium-silver nanohybrids enable redox-modulated mitochondrial apoptosis and survival improvement in experimental hepatocellular carcinoma

RSC Advances (Royal Society of Chemistry)

Metal-Organic Frameworks for Biosensing: Linking Structure-Function Insights to Machine Learning-Guided Design

Sensing and Bio-Sensing Research

A SINP-Chitosan Nanocomposite Converts Hydrophobic 3D-Printed Microchannels into Whole-Blood-Operable Nanoplasmonic Biosensors.

ACS Biomaterials Science & Engineering

Systems Biology and Integrative Omics Decoding Xenobiotic Metabolism in Environmental Carcinogenesis. In: Cancer Exposomics and Environmental Influences on Carcinogenesis.

IGI Global

Nanophotonics in Molecular Imaging and Biomedicine.

Molecular Imaging and Biology

N/O-Doped Carbon Quantum Dots Fluorescence Biosensor.

Discover Nano (Springer)

Contribution: Computational molecular docking & MD simulations.

Europium-Salicylic Acid Nanobiosensor for GPC3 Detection in HCC.

Biosensors and Bioelectronics

Integrating AI with Nanodiagnostics for Neurodegenerative Diseases.

Journal of Nanobiotechnology

Recent Developments and Future Directions in Point-of-Care Next-Generation CRISPR-Based Rapid Diagnostics.

Springer Nature

Languages

Arabic

English

German

Skills

Nanofabrication

3D-printed microfluidics, nanoplasmonic chip design, AutoCAD, microfluidic channel engineering, SERS platforms.

Biosensing

Fluorescence biosensors, electrochemical biosensors, nano-optical probes (europium, carbon quantum dots), ELISA, lateral flow assay.

Molecular Biology

CRISPR-Cas12a, qPCR, isothermal amplification (RPA/LAMP), cell & tissue culture, iPSC-derived organoids, in vivo HCC models.

Microscopy & Imaging

Confocal & fluorescence microscopy, live-cell imaging, iSCAT, Fiji/ImageJ quantitative image analysis.

Computational / AI

Python (PyTorch, NumPy, scikit-learn), R, physics-informed neural networks, Bayesian inference, FDTD simulation, bioinformatics (NGS pipelines).

Data Analysis

Quantitative image analysis, statistical modelling, biomarker forecasting, AI-driven diagnostics, uncertainty quantification.

References

Prof. Hala El-Tantawi

Main MSc Supervisor | Professor of Pathology & Zoology | Head, Department of Zoology & Pathology, Faculty of Science, Ain Shams University, Cairo, Egypt | halatantawy@sci.asu.edu.eg

Prof. Mohamed S. Attia

Co-Supervisor / Nano-Biophotonics | Professor of Molecular Biotechnology & Nano-Biophotonics, Faculty of Science, Ain Shams University, Cairo, Egypt | mohd_mostafa@sci.asu.edu.eg

Prof. Wael Elsayed

Supervisor | Professor of Physiology, Department of Zoology, Faculty of Science, Ain Shams University, Cairo, Egypt | wael_farag@sci.asu.edu.eg

Dr. Dalia Mostafa

Research Supervisor | Researcher, Nanotechnology Research Center, Animal Health Research Institute (AHRI), Egypt | dalia_biotech@yahoo.com

Projects

Physics-Informed Deep Learning for iSCAT Particle Tracking

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Summary

Developed a physics-informed deep neural network (PIDN) embedding analytical iSCAT image-formation physics directly into the architecture for interpretable real-time particle tracking.

Deep Learning-Enabled Optical Trapping on Organ-on-Chip Platforms

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Summary

Built a real-time deep learning framework for multi-particle detection and automated feedback control in optical trapping within microfluidic organ-on-chip systems.

3D Microfluidics for Advanced Bioanalytical Platforms

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Summary

Designed and visualized a 3D microfluidic architecture for controlled particle transport, spatial flow modulation, and enhanced mixing/confinement for advanced bioanalytical applications.

BioAI-HCC-Pathomics

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Summary

Developed a computational pathomics pipeline to extract six quantitative biomarkers from whole-slide histopathology images for predicting hepatocellular carcinoma (HCC) progression and stratifying tumour microenvironment (TME) phenotypes.

3D Tumour Growth Simulation & Prediction Visualisation

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Summary

Developed software for simulating and visualizing 3D tumour growth dynamics using predictive models.

AI-Accelerated MOF-to-Device Pipeline

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Summary

Developed an end-to-end Python pipeline automating Metal-Organic Framework (MOF) screening, 3D-printed chip fabrication, and clinical-grade biosensor validation for HCC detection via the GPC3 biomarker.

SiNP-Chitosan Nanoplasmonic Lab-on-a-Chip / Tumour Dynamics EKF

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Summary

Developed custom code for a self-powered 3D-printed microfluidic biosensor performing passive plasma separation and quantitative GPC3 detection from finger-prick whole blood.

HistoVision-AI

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Summary

Designed an R-based pipeline for quantitative histology, enabling tissue segmentation, nuclei detection, texture analysis, spatial statistics, and phenotypic clustering with multi-format outputs.

AI Application (Drug Efficacy Analysis)

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Summary

Created an R Shiny web application for interactive drug efficacy analysis, integrating molecular docking visualization, pharmacokinetic profiling, and Random Forest-based clearance rate prediction.