Congratulations to Dr. Thangaraj!

Phyllis Thangaraj, an MD/PhD student in the lab, successfully defended her dissertation entitled “Electronic health record-derived phenotyping models to improve genomic research in stroke.” Her work explores the use of machine learning methods to transform noisy binary indicators of disease status common in electronic health records to quantitative descriptors. Dr. Thangaraj’s central hypothesis is that these quantitative descriptors can provide more nuance to disease definitions that will enhance genetic studies that rely on these data to discovery new genomic variants. Her two papers are currently in submission and can be read as pre-prints here and here.