Philip Corlett
About Philip Corlett
Philip Corlett is an Associate Professor of Psychiatry and Psychology at Yale University, specializing in the study of human behavior and brain function. He focuses on understanding hallucinations and delusions in serious mental illnesses, utilizing advanced techniques such as functional neuroimaging and computational modeling.
Work at Yale University
Philip Corlett has been serving as an Associate Professor of Psychiatry and Psychology at Yale University since 2018. His role involves teaching and conducting research in the fields of psychiatry and psychology. He has been part of the Yale University School of Medicine as an Assistant Professor since 2011, contributing to the academic environment and advancing research initiatives. His work focuses on understanding human behavior and brain function, particularly in relation to mental illnesses.
Education and Expertise
Philip Corlett completed his Doctor of Philosophy (PhD) in Cognitive Neuroscience at the University of Cambridge from 1999 to 2009. His educational background provides a strong foundation for his research and teaching in psychiatry and psychology. He has developed expertise in data science, artificial intelligence, machine learning, and clinical research, which he applies to his studies on mental health.
Background
Prior to his current position at Yale University, Philip Corlett worked at the University of Cambridge as a Graduate Student and Post-Doctoral researcher from 2001 to 2008. This experience contributed to his understanding of cognitive neuroscience and prepared him for his academic career. His background includes a focus on the processes that drive human behavior and the functioning of the brain.
Research Focus
Philip Corlett's research primarily investigates the emergence of hallucinations and delusions in serious mental illnesses, such as schizophrenia. He employs functional neuroimaging, behavioral testing, and computational modeling to explore the breakdown of mind-brain relations in these conditions. His approach emphasizes creative problem-solving and the identification of trends in the field.
Skills and Methodologies
Philip Corlett possesses a diverse skill set that includes data science, artificial intelligence, machine learning, and clinical research methodologies. His ability to distill complex fields into manageable areas of focus allows him to identify critical stress tests of accepted theories in psychology and psychiatry. He utilizes various research techniques to enhance the understanding of mental health issues.