Kara Rudolph

Kara Rudolph, a highly skilled epidemiologist and statistical data scientist, is making her mark in public health through her exceptional work in machine learning and causal inference. With a Doctor of Philosophy (Ph.D.), Epidemiology, and a Master of Health Science in Biostatistics, both from Johns Hopkins Bloomberg School of Public Health, Kara possesses a wealth of expertise, which she applies to improve public health outcomes.

Before taking up the position of Assistant Professor at Columbia University Mailman School of Public Health, Kara was an Assistant Professor at the School of Medicine, University of California, Davis, and a Robert Wood Johnson Foundation Health and Society Scholar at UC Berkeley. She is also the former Postdoctoral Fellow at Johns Hopkins Bloomberg School of Public Health, Teaching Assistant at Johns Hopkins Bloomberg School of Public Health, Pre-doctoral research fellow at National Institute of Mental Health, Policy Associate at Altarum, Intern at Howard County Health Department, and Staff Scientist at Merck.

Kara's impressive expertise in statistical and epidemiologic data science methods, including machine learning and causal inference, has been the driving force behind her exceptional work in public health. She is always pushing the limits of her knowledge to find innovative ways to make communities healthier and happier.