Amr Mostafa

- Leading development of automated image analysis platform combining machine learning with bacterial microscopy data. - Managing dual-track research combining wet lab experimentation with computational model development. - Designed experimental protocols to generate standardized training data for machine learning models. - Building cross-functional collaborations between computer science and biology departments to integrate ML solutions into lab workflows. - Mentoring junior researchers in bioinformatics an

- Mentored 15+ students in Python, SQL, and machine learning, leading to successful completion of their final projects. - Conducted code reviews and provided technical guidance for student projects using pandas, scikit-learn, and SQL. - Collaborated with lead instructor to optimize curriculum delivery and identify areas for student improvement. - Facilitated daily stand-ups and technical workshops to reinforce learning objectives.

Hybrid Nanostructures Group - Research project employing DNA Origami and Surface Enhanced Raman Spectroscopy (SERS) to provide enhanced analytical capabilities for characterizing biological materials. - Conducted in-depth studies on DNA Origami techniques, contributing to the development of novel structures and functionalities for applications in biomolecular assembly. -Presented findings at scientific conferences and authored peer-reviewed publications.

DNA-Nanodevices Group - Developed Dengue Virus VLPs to probe DNA nanoparticle-mediated multivalent inhibitors. - Contributed to the RSV Protect Project, focusing on viral inhibition mechanisms. - Worked on the Influenza Inhibition Project, utilizing advanced biochemical techniques. - Presented research outcomes at academic forums and contributed to publications.

- Completed intensive 400-hour data analytics program covering Python, SQL, machine learning, and data visualization. - Developed protein sequence generation model using LSTM neural networks, achieving 75% accuracy in sequence classification. - Created machine learning-based song recommendation sy

- 9 week intensive Data Analytics training. - 400 hours of training. - Built projects using: Python, MySQL, Tableau

PhD thesis: Using DNA Origami Nano-Fork as a Scaffold for Single-Molecule SERS