Ismail Hassan

Highly motivated Integrative Sciences graduate from Penn State University with a strong academic record and a solid background in biotech research and computational biology. Experienced in data analysis, machine learning applications in healthcare and modeling. Seeking research opportunities in neuroscience, cardiology, or biotech research.

Golden Visa Holder in the UAE – Eligible for immediate and long-term employment

Open to full-time, part-time, hybrid, and remote research positions

• Available: Available for Immediate Start
• Visa Status: Golden Visa Holder

President's list

First aid

Molecular Biology & Genetic Research

• Gene Expression Analysis and Protein Interactions in Disease Pathology: Investigated differential gene expression and protein-protein interactions in disease states.
• CRISPR/Cas9 Gene Editing: Explored gene editing for monogenic disorders, focusing on off-target effects and precision medicine.
• RNA-Based Therapeutics: Analyzed mRNA immunotherapy mechanisms, including translation efficiency and lipid nanoparticle delivery systems.
• Molecular Modeling of Drug-Protein Interactions: Performed in silico simulations to assess ligand-receptor binding and enzyme inhibition.

Biomedical Engineering & Biomechanics

• Biomechanical Modeling of the Cardiovascular System: Developed a computational model to analyze hemodynamic changes under stress.
• Bioengineered Prosthetics: Studied material fatigue resistance and bioelectrical signal processing in myoelectric prostheses.
• Nanomaterial Synthesis for Drug Delivery: Investigated biomaterials for drug delivery systems, focusing on biocompatibility and degradation.

Immunology & Infectious Diseases

• Viral Evolution & Pandemic Spread: Utilized phylogenetic and epidemiological modeling to predict viral antigenic drift.
• Host-Pathogen Interactions: Analyzed microbial evasion strategies and host immune responses, including autophagy.
• Vaccine Efficacy & Comparative Studies: Studied immunogenetic factors influencing vaccine responsiveness and efficacy across populations.
• Immunological Responses to Emerging Diseases: Characterized immune responses to novel viral pathogens.

Computational Biology & Data Science

• Machine Learning in Personalized Medicine: Developed predictive models to stratify patient risk profiles using multi-omic data.
• Big Data in Biomedical Research: Applied NLP to clinical datasets for prognostic biomarker discovery and patient outcome prediction.
• Statistical Modeling of Genetic Mutations: Used GWAS to identify SNPs associated with disease susceptibility.

Public Health & Environmental Research

• Epidemiological Study on Schistosomiasis: Conducted spatial analysis of disease prevalence and genetic risk factors.
• Impact of Climate Change on Disease Patterns: Modeled the migration of vector-borne diseases in response to climate fluctuations.
• Healthcare Disparities in Precision Medicine: Investigated socioeconomic and genetic factors affecting access to targeted therapies.