Dr. Chen's research encompasses both innovative statistical research and impactful biomedical research. Her statistical research currently centers around several key areas, including missing data, survival analysis, Bayesian methods, and penalized approaches. Additionally, she is dedicated to the development of statistical methods specifically designed to analyze multimodal data in precision medicine, such as survey data, electronic health records (EHRs), genetics information, and mobile data. Notably, she has been actively involved in the All of Us Research Program (https://allofus.nih.gov/), contributing her expertise to advance precision medicine initiatives.
In addition to her statistical pursuits, Dr. Chen has made significant contributions to various biomedical research domains. Her notable areas of focus include cancer, ophthalmology, infectious diseases, cardiovascular diseases, and suicide. Through her interdisciplinary work, she aims to address critical challenges in these fields and make meaningful advancements that have a positive impact on patient outcomes and public health.
More information: biostat.app.vumc.org/QingxiaChen
Ky'Era is investigating how genetics and environmental risk factors contribute to the development of chronic conditions. She is also interested in reproductive endocrinology, cardiometabolic disorders, and more.
Lakshitha received his Ph.D. in Chemistry from the University of Florida. He is a highly motivated, reliable, dynamic, and collaborative researcher with a diverse set of technical, problem-solving, and communication skills. He has demonstrated aptitude in adaptability, creativity, and the ability to work with multidisciplinary teams. His expertise spans through: Bioconjugates chemistry, protein engineering, polymer chemistry, biology and biochemistry, bioinformatics, computational modeling and mutational analysis, genomics, project management, scripting, data analysis, organizational skills, public speaking, and presentation. Lakshitha is currently working as a Postdoctoral Research Fellow at the Vanderbilt University Medical Center in the Gamazon lab.
Allie is a student in the Medical Scientist Training Program at Vanderbilt. After graduating from Haverford College with degrees in math and computer science, she worked in software development and later in computational genetics research before arriving at Vanderbilt. She looks forward to continuing to integrate her research interests in psychiatric genomics in the Davis lab with her clinical interest in psychiatry.
Cathy Shyr, PhD, received her PhD in Biostatistics from Harvard University in 2022. Her doctoral research focused on developing statistical and machine learning methods for multi-study prediction and causal inference. Cathy's postdoc advisor is Dr. Paul Harris, and her current research interests include All of Us clinical trial eligibility and developing statistical machine learning methods for rare diseases.
https://scholar.google.com/citations?user=GiNkJ1cAAAAJ&hl=en
Undergraduate: University of Manchester (Manchester, UK)
Medical School: University of Manchester (Manchester, UK)
Rory is originally from London in the United Kingdom where he went to medical school and conducted an integrated BSc in Neuroscience. Working as a career for children with genetic disorders inspired Rory to pursue a career in Pediatric Genetics. His principal academic interest is how genetic technology can identify, diagnose, and ultimately, treat rare disorders. Outside of work, Rory enjoys watching England’s national soccer team fail to win major tournaments, cooking Italian food, and traveling (with Brazil being Rory’s favorite destination so far).