Ireneaus Nyame

A recent Biomedical Sciences graduate from the University of Cape Coast, Ghana, I combine a strong academic foundation with a passion for computational neuroscience and genomic research. My fascination with the brain, ignited in high school and explored through my thesis on alcohol, sleep deprivation, and memory, has driven my commitment to brain health research. I possess proven proficiency in data science tools, including R for statistical analysis and data visualization, and Python for machine learning and deep learning. While my deep learning expertise focuses on MR Imagining segmentation, I'm eager to apply these skills to large-scale genomic datasets. I've also honed my analytical abilities in SAS. My interdisciplinary background in biomedical science, bioinformatics, and neuroscience, coupled with my enthusiasm for programming, positions me to excel in complex data-driven challenges. I am a detail-oriented, active listener and an effective communicator who thrives in team environments. I am gritty, savvy, and dedicated to precision, always seeking to collaborate with experts across various fields to solve problems with data. My transferable skillset, adaptability, and commitment to continuous learning make me poised to make significant contributions to neuroscience and genomic analysis. I am also passionate about sleep, microbiome, and kidney research, reflecting my broad scientific curiosity.