I’m a PhD-trained epidemiologist with expertise in pharmacoepidemiology, outbreak investigation, and public health surveillance. I have several semesters of graduate-level teaching experience in introductory and intermediate epidemiology and public health surveillance. I’ve supported students through office hours, review sessions, exam preparation and grading, and detailed feedback on assignments covering study design, measures of disease and association, bias, confounding, regression,...
I’m a PhD-trained epidemiologist with expertise in pharmacoepidemiology, outbreak investigation, and public health surveillance. I have several semesters of graduate-level teaching experience in introductory and intermediate epidemiology and public health surveillance. I’ve supported students through office hours, review sessions, exam preparation and grading, and detailed feedback on assignments covering study design, measures of disease and association, bias, confounding, regression, survival analysis, and interpretation of epidemiologic results.
My teaching style is casual and centers on slowing down to deconstruct complex ideas, using concrete, practical examples to help cement epidemiologic principles. I’m especially passionate about good data visualization and helping students see how epidemiologic methods connect to the public health questions they care about. I’m also an experienced SAS programmer and can help troubleshoot graduate-level code, interpret output, and expand your coding toolkit.
I have substantial experience publishing in peer-reviewed journals, including first-author work in CDC’s Morbidity and Mortality Weekly Report (MMWR). I enjoy helping students strengthen the clarity, organization, and interpretation of their own writing so they can communicate public health findings effectively. Most of all, I love hearing what excites students about epidemiology and public health and am always happy to talk about how their coursework and interests may connect to future career paths.
