Michelle Renee Morales is a Doctoral Candidate in computational linguistics at the CUNY Graduate Center. Her research interests include natural language and speech processing for mental health applications. Michelle’s dissertation project investigates how to use language as an objective marker in the diagnosis and monitoring of mental disorders, such as depression, anxiety, and PTSD. As part of her dissertation, she is currently building a computational system that uses language to automatically identify the presence of mental health disorders. Given the severe shortage of clinicians and the ever increasing number of individuals in need, Michelle’s research aims to improve the current state of mental healthcare by providing a scalable technological solution. Michelle is also a Futures Initiative Research Fellow at the CUNY Graduate Center with interests in open-source technologies and documentation.