Colt, Susannah

Overview

Suze Colt, PhD is a clinical researcher based at the Center for International Health Research (CIHR). She received her doctoral degree from Cornell University where she studied international nutrition, infectious diseases and immunology, and epidemiology and biostatistics. Her areas of study include neglected tropical diseases and maternal and child nutrition. Her research with CIHR focuses on relationships between schistosomiasis and nutritional morbidities. Dr. Colt is the principal investigator of an NIH-funded K01 award to examine mechanistic pathways of stunting among young children with schistosomiasis.

Prior to studying schistosomiasis, Dr. Colt led clinical research studies relating to human leptospirosis in The Federated States of Micronesia and dengue virus infection in Ecuador. In recent years, she received awards from the Thrasher Foundation and the NIH to investigate relationships between vitamin A deficiency and schistosomiasis immunopathology.

Brown Affiliations

Pediatrics

Research Areas

Background

Education and Training

Year	Degree	Institution
2019	PhD	Cornell University
2009	MPH	University of Auckland
2006	BSc	University of Rhode Island
2006	BA	University of Rhode Island

Affiliations

Teaching

Teaching Overview

Dr. Colt designed and teaches Foundations in Statistics for Biology and Medicine (BIOL 2025). This course provides essential statistical knowledge and skills for conducting graduate research in biology and medicine. Using statistical analysis software, students engage in hands-on analysis of biological and medical data, covering a range of topics including data cleaning and shaping, descriptive statistics, parametric and non-parametric tests, correlation, mean differences, analysis of variance, regression modeling, and graphical presentation of data as well as an overview of more advanced methods. By the end of the course, students apply their learning into a final project similar to an original research manuscript that demonstrates statistical methodology, interpreation of statistical results, and written and visual reporting of results.

Researchers@Brown