About
Dr. Daniel Tylee is an Associate Research Scientist in the Department of Psychiatry at Yale School of Medicine. He holds an MD and PhD from State University of New York (SUNY) Upstate Medical University and a BA in Psychology from SUNY Geneseo. His research focuses on leveraging genetic epidemiology, electronic health records (EHR), and machine learning to advance mental health diagnostics and treatment strategies. Key areas include genome-wide association studies (GWAS) for anxiety and addiction, EHR-based phenotyping, and translating genomic insights into clinical applications like brain-machine interfaces.
Notable contributions include a landmark 2024 study identifying genetic risk loci for anxiety in over 1.2 million participants, and pioneering work on automated depression phenotyping using EHR data. He collaborates with leading researchers like Dr. Renato Polimanti and Dr. Joel Gelernter, contributing to high-impact studies published in Nature Genetics, Molecular Psychiatry, and Genome Medicine.
Dr. Tylee has been recognized with prestigious awards including the NARSAD Young Investigator Award (2020) and VA Career Development Award (2021). His work bridges computational methods with clinical psychiatry, addressing critical gaps in understanding comorbidities between mental and physical health conditions.