University of Colorado Anschutz Medical Campus

Stanislawski Lab

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Maggie Stanislawski, PhD

Assistant Professor, Department of Biomedical Informatics

Maggie Stanislawski is a molecular epidemiologist at the University of Colorado School of Medicine, and her work aims to understand the role of the gut microbiome and related molecular profiles in health and disease, specifically obesity, cardiometabolic disease and inflammatory conditions. Before completing her PhD in Epidemiology with the Colorado School of Public Health, Dr. Stanislawski completed her bachelor’s degree in Mathematics at Pomona College and a master’s degree in Statistics at Colorado State University. She was also a volunteer with the Peace Corps in Tanzania, where she taught secondary school mathematics. In her spare time, she likes to hike, backpack, travel, and cook.

Who We Are

Evaluating the role of the microbiome, and other omic pathways, in the response to clinical interventions

We partner with clinical dietary and exercise intervention studies in order to understand how these interventions impact the microbiome and related molecular profiles, such as metabolomics and DNA methylation. We use advanced statistical methods and quantitative epidemiology to investigate the role of molecular profiles in the response to the interventions with the hope of understanding how to personalize approaches to diet and exercise for optimal cardiometabolic health.

We aim to answer questions such as:

How do different dietary approaches, such as intermittent fasting versus a standard calorie reduction diet, affect the microbiome?
Do dietary changes affect different people differently, based on their baseline microbiota profile?
Do changes in the microbiome mediate weight loss or cardiometabolic improvements during a dietary intervention?

Investigating omic pathways in diverse populations

We aim to understand how the relationship between molecular profiles, such as genetics, the microbiome, DNA methylation, and metabolomic profiles, vary across diverse populations, and to leverage this understanding to investigate their role in cardiometabolic and inflammatory diseases. We do this using data from large epidemiological cohort studies and biobanks, evaluating how factors such as race/ethnicity, diet, age, and socioeconomic status impact the association of genetic and other omic profiles with cardiometabolic conditions.