Molecular Diagnostics and Infectious Disease Research

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My research background is deeply connected to molecular diagnostics and infectious disease research, particularly in pathogen genomics, host-pathogen interactions, and epidemiological surveillance. Throughout my academic and professional career, I have worked extensively on viral genome analysis, computational drug design, and microbiological assays, all of which play a crucial role in developing next-generation diagnostic tools and therapeutic strategies for infectious diseases.

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My expertise in genomic data analysis and molecular dynamics simulations has been applied in multiple research projects, including mutational analysis of SARS-CoV-2 genomes, where I investigated variant-specific deleterious mutations and their impact on immune responses and vaccine development. Additionally, my work on wastewater-based epidemiological surveillance for viral pathogens aligns with current global efforts to monitor infectious disease outbreaks and develop early detection strategies. These experiences have equipped me with advanced bioinformatics skills, allowing me to analyze large-scale genomic datasets and extract meaningful insights for disease modeling and public health interventions.

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Moreover, my experience in clinical research, molecular assays (qRT-PCR, ELISA), and metagenomics supports my ability to develop and validate novel molecular diagnostic techniques. My statistical expertise in SPSS, R, and Python-based machine learning applications further enhances my ability to contribute to AI-driven diagnostic innovations, which are becoming increasingly critical in rapid disease detection and outbreak response.

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With global funding trends shifting toward biodefense, pandemic preparedness, and precision diagnostics, my interdisciplinary expertise in molecular biology, computational research, and public health epidemiology makes me well-suited for PhD opportunities in molecular diagnostics, viral genomics, and infectious disease modeling.