- Statistical methods for microbiome data analysis and data integration between different "omics" data sets.
- Statistical and machine learning methods for evaluation of clinical decision support (CDS) tools.
I am currently working on a large trial evaluating maternal and infant microbiomes during and after pregnancy and how obesity, gestational diabetes, and the CHOICE diet impact mom/baby outcomes. I am also involved in several other microbiome-related projects, and am working to help establish consistency and guidelines for data analyses in these types of studies. In a different set of collaborations, I am working to help develop standards for implementing and evaluating CDS tools.
BIOS 6621 and 6622: Statistical Consulting (co-teaching with Gary)
- PhD in Biostatistics, Colorado School of Public Health, University of Colorado Denver, 2014
- MS in Biostatistics, Colorado School of Public Health, University of Colorado Denver, 2009
- BS in Chemical Engineering, Colorado State University, 2005
What makes you passionate about or interested in biostatistics?
I have always enjoyed math and biology, and feel that biostatistics is a perfect combination of the disciplines. More so, however, I feel strongly that biostatistical expertise is imperative in helping to take research questions and turn them into strong testable hypotheses, and ultimately end up with results that are appropriately interpreted. I love being able to contribute my expertise to this process and knowing that my effort in a collaboration helps to advance our knowledge.
Personal Interests & Hobbies
I love to do the typical Colorado things like hike, ski, and mountain bike. More recently, I have been learning to enjoy these activities with my little family that now includes twin boys. I also am an aspiring (but very amateur) photographer and artist, and (a little better but still amateur) pianist and chef. And if you ever really want to get me to a meeting, promise me coffee, or better yet, set the meeting location to Etai's or Dazbog!