I'm a Graduate Research Assistant, working at Dr. Frieboes' Lab, Center for Predictive Medicine, University of Louisville.
• Ph.D. Fellow in Translational Bioengineering.
• Focus Area: Bioelectronics and Biomedical Devices.
• Advancing bioengineering technologies through entrepreneurship.
• Awarded the University Prestigious Fellowship for Academic Excellence.
• B.Sc. in Nano-Sciences
• Major: Nano-Medicine.
• Minor: Information Engineering & Machine Learning.
• Awards & Honors: Scholarship for Academic Excellence, Provost's Honors Roll (top 5% of junior class).
• Graduation Thesis: The Use of Nano-Informatics and Machine Learning Models for the in-Silico Prediction of the Biological Activities of Nanomaterials.
• Thesis Grade: A (4.00/4.00).
• Coursework in Biochemistry, Biotechnology & Genetic Engineering
"Computational Modeling of Controlled Dual Active Agent Release from 3D-Printed Scaffolds Targeting Bacterial Vaginosis," Poster Presentation at the Controlled Release Society AM&E, Las Vegas, NV, USA, 2023. This presentation showcased a novel computational approach to optimize 3D-printed scaffolds for dual antibiotic and probiotic delivery in treating Bacterial Vaginosis, highlighting how scaffold design variations impact drug release kinetics and treatment efficacy.
“3D-Printed Scaffolds for Localized, Dual Delivery of Antibiotic and Probiotic Release for Vaginal Applications,” Poster Presentation at the Controlled Release Society AM&E, Las Vegas, NV, USA, 2023. Presented a groundbreaking study on 3D-printed core-shell scaffolds for simultaneous delivery of metronidazole and L. crispatus, demonstrating sustained release, effective inhibition of pathogenic bacteria, and minimal cytotoxicity, offering promising advancements in treatment and reproductive health restoration post-Bacterial Vaginosis.
“Metabolomics: Past, Present & Future,” Presentation at the Science Operation Leaders in Egypt (SOLE) Conference & Comp., Giza, Egypt, 2017. Delivered an insightful overview of the evolution of metabolomics, exploring its historical roots, current applications in various scientific fields, and future potential in advancing personalized medicine and biomarker discovery.