Douglas Ruderfer Ph.D
douglas.ruderfer (at) vumc.orgAssociate Professor
Formally trained in computational biology and genetics, Doug’s interest is in using computational tools and genetics to inform clinical decision making and biological understanding of disease. He is currently an Associate Professor in the Division of Genetic Medicine and the Departments of Medicine, Psychiatry and Biomedical Informatics at the Vanderbilt University Medical Center in Nashville, TN. He also directs the Center for Digital Genomic Medicine
Lide Han Ph.D
Sr. Staff Scientist
Lide Han has background in biology, quantitative genetics and biostatistics. He received his Master’s degree in Nanjing Agricultural University, China and PhD’s degree in Zhejiang University, China. Afterwards he accepted his postdoc training in University of California, Riverside and University of Chicago. He joined the Ruderfer lab in August, 2017. Out of work he likes hiking, movies and playing with family and friends.
Lucas Richter
Genetics Counselor / Data Scientist
Lucas is a former Broadway voice teacher. Before moving to New York City he studied music at Oklahoma City University, where he also received his masters in vocal performance. He lives in Nashville with his 2-year-old son Finn and his wife, novelist Mary Adkins.
Ted Morley
Data Scientist
Ted Morley has a background in computer science, with a Bachelor of Arts from McGill University. His computational focuses have primarily been in biology, natural language processing, and machine learning. In his free time he enjoys wilderness backpacking, board games, and cooking for friends and family.
Peyton Coleman
PhD Student
Peyton Coleman is a 5th year Human Genetics PhD candidate in the Ruderfer Lab. She studies how behaviors such as sleep and activity are associated with disease and how these behaviors can be modified to account for genetic predisposition to disease. She mainly works with EHR sleep data from Fitbit devices in the All of Us Research Program. Additionally, she leads analysis on the CDGM’s MOSAIC cohort (Multimodal Observational Streaming data for Acitionable Integrated Care), which layers EHR data with monthly mood symptom surveys and passive smart device data. In her free time, she enjoys knitting, playing video games, and cuddling with her cat.
Tyne Miller-Fleming
Research Instructor
Tyne is a Research Instructor in the Division of Genetic Medicine and Clinical Pharmacology at Vanderbilt University Medical Center. Her research background includes studying synaptic plasticity in C. elegans before joining the Vanderbilt Genetics Institute in 2017. Her current research includes leveraging electronic health records and genetic data to better understand the etiologies of neurodevelopmental and neurological disorders, including tic disorders, autism spectrum disorder, and medication-resistant childhood epilepsy. Outside of work, Tyne enjoys cooking, traveling, and chasing her two small boys around the various parks and playgrounds in Nashville.
Ellen Osborn
PhD Student
Ellen Osborn is a 3rd year Human Genetics PhD candidate co-advised by Andrew Glazer and Doug Ruderfer. She did her B.S. and M.S. at the University of California-Davis in Biochemistry and Molecular Medicine and Genomic Medicine. Her PhD research uses experimentally generated variant functional data alongside electronic health records to improve clinical variant interpretation. She also co-leads the Science and Technology Seminar through the RPW Center for Humanities at Vanderbilt University. When not on her computer, Ellen can be found outside with her two dogs and baby girl.
Cecile Avery
Postdoctoral Fellow
Cecile Avery is a post-doctoral research fellow in the Ruderfer Lab. She completed her Ph.D. in Human Genetics at the University of Utah, leveraging large pedigrees to uncover rare variants contributing to risk of Juvenile Idiopathic Arthritis. Her research at Vanderbilt University Medical Center continues to follow her interest in rare, heritable diseases. Her current research utilizes electronic health records paired with whole genome sequencing data to uncover disease trajectories and diagnosis of TTR amyloidosis and prioritization of rare variant candidates from participants of the Undiagnosed Diseases Network. Outside of work, she enjoys drawing and painting, hiking, and visiting museums.
