Chia-Yen Chen's interests lie in genetic epidemiology and population genetics. He has been developing new methods for genetic risk prediction and applying these methods to real data. These methods include improved polygenic prediction models by leveraging genetic ancestry information, genetic risk prediction models based on pleiotropic effects, and prediction models using genetic factors, environmental factors, family history and interactions between risk factors. He also developed methods for ancestry inference with better efficiency than current methods. His current research projects focuses on applying these methods in combination with other existing methods to understand the genetic architecture of psychiatric disorders, including posttraumatic stress disorder, schizophrenia, bipolar disorder, major depression disorder, and electroencephalography phenotypes.