I'm applying bivariate and multivariate analyses at UAB's Ryals School of Public Health and Heersink School of Medicine to examine how genetics, comorbidity burden, and socioeconomic differences shape multiple sclerosis presentation.
I mathematically adapted the Charlson Comorbidity Index to reduce confounding in progressive disease research, completed IRB and Good Clinical Practice training, and presented findings to physicians and public health experts through posters and slideshows. My manuscript is forthcoming.
Alongside public health research, I evaluate clinical reasoning and mathematics outputs for large language models, including Google Gemini and Claude, with attention to safety, factual accuracy, clarity, and policy compliance. I write and verify technical responses in LaTeX, Markdown, and JSON.
My background also includes infectious disease laboratory research, French-language study, and teaching English to more than 200 students in France. I bring a cross-disciplinary perspective grounded in biology, public health, statistical reporting, and clear communication.
