Nathan A Bihlmeyer, PhD

Bioinformatics and Clinical Analytics Team (BioCAT)
Duke University School of Medicine


I am a Biostatistician in the Bioinformatics and Clinical Analytics Team (BioCAT) within the Duke Clinical Research Unit. Previously, I was a computational genetics postdoc working with Dr. Svati H. Shah, MD in the Duke Molecular Physiology Institute at the Duke University Medical Center. My work focused on pediatric obesity and multi-omics (including the microbiome) with the goal of identifying biomarkers that will distinguish which individuals at baseline should receive which of the available obesity interventions.

Before that, I was a Postdoctoral Fellow in Neurology with a joint appointment at Massachusetts General Hospital (MGH) and Harvard Medical School (HMS). I was working on integrating multi-omic data in an effort to discover novel molecular targets in Alzheimer disease therapeutics as a part of the Massachusetts Center for Alzheimer Therapeutics Science (MassCATS) project. I worked in the MassGeneral Institute for Neurodegenerative Disease (MIND) Informatics group.

I have a PhD in Human Genetics from Johns Hopkins University School of Medicine focused on the genetics of electrical conduction in the heart, investigating the role of both rare and common genetic variants in humans. As a part of the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) consortium EKG working group, I was the junior project lead supporting 23 analysts working with the Illumina ExomeChip towards finding genes that effect cardiac repolarization, and by extension risk for Sudden Cardiac Death (SCD), in a meta-analysis involving over 95,000 human subjects. My thesis mentor was Dr. Dan E Arking, PhD.

Over the five and a half years I spent in graduate school, I obtained a strong understanding of bioinformatics and managing large genotype datasets. I have worked with multiple programming languages and software packages interweaving them together, exploiting their strengths to arrive at a final bioinformatic pipeline. Then helping other analysts run that pipeline on other cohort’s data, working towards a meta-analyized final result.

I also have over three years experience in molecular biology. I have worked with the model organizes Mus musculus, Xenopus, and Arabidopsis thaliana. In additional to basic molecular biology techniques, I have experience with dissection, cryosectioning, confocal microscopy, and bimolecular fluorescence complementation.

(Updated: Fri, 13 Jan 2023 11:32:48 -0500)

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