Read in depth about each of the disciplines that work together within the DBEI:
Members of the biostatistics faculty lead research that develops novel statistical-methods approaches to meet complex data challenges across many domains. And they contribute as team scientists to investigations across many disciplines. Read about our latest findings.
How can we accurately portray the associations between exposure and disease in the era of “big data” and “precision medicine”? How can we now estimate causal effects, properly adjusting for confounding and bias? Such questions inspire our faculty members as they educate the next generation of leaders in biostatistical theory, methods and practice. Read about our teaching approach.
Read about our biostatistics faculty members.
Our epidemiology faculty members employ many different avenues to discover, implement and disseminate novel methods that stand to improve the health of the public. They study a broad array of clinical and population-health issues. Read about our latest findings.
Which groups of people enjoy health and are likely to see that continue, and which suffer or are at risk for poor outcomes? These fundamental questions of epidemiology also inspire the broader community of scientists who seek to improve the health of the public. Read about our teaching approach.
Read about our epidemiology faculty members.
Our informatics faculty members actively develop new methodology in artificial intelligence, natural-language processing and machine learning; these methods make possible novel analyses of clinical data from electronic-health records and from population-based studies of common diseases. Read about our latest findings.
Human health is a complex system influenced by the interplay among many demographic, environmental and genomic factors. Computational models of health must take this complexity into account. Read about our teaching approach that prepares student for such challenges.