Dr. Timmons’ research focuses on developing just-in-time adaptive mobile health interventions using machine learning and wearables, with the goal of improving mental health outcomes for children, couples, and families. As the CEO of Colliga Apps, Dr. Timmons aims to promote technological innovation and accelerated dissemination in the field of digital mental health.
Matthew Ahle is a software developer and data scientist specializing in integrating data science algorithms with web and mobile applications. He has developed research applications for data collection on projects applying machine learning processes to ambulatory big data. He oversees the technical development of Colliga Apps AI-based software.
Dr. Timmons’ research focuses on developing just-in-time adaptive mobile health interventions using machine learning and wearables, with the goal of improving mental health outcomes for children, couples, and families. As the CEO of Colliga Apps, Dr. Timmons aims to promote technological innovation and accelerated dissemination in the field of digital mental health.
Matthew Ahle is a software developer and data scientist specializing in integrating data science algorithms with web and mobile applications. He has developed research applications for data collection on projects applying machine learning processes to ambulatory big data. He oversees the technical development of Colliga Apps AI-based software.
Dr. Narayanan is an interdisciplinary engineer-scientist with a focus on human-centered signal processing and machine intelligence with speech and spoken language processing. He directs the Signal Analysis and Interpretation Laboratory (SAIL) at USC.
Dr. Chaspari is the director of the HUman Bio-Behavioral Signals (HUBBS) Lab. She is a research scientist focusing on biomedical signal processing and affective computing. Her goal is to integrate data-scientific approaches towards novel individualized health applications.
Dr. Comer is the director of the Mental Health Interventions and Technology (MINT) Lab, an interdisciplinary clinical research laboratory devoted to using teleservices and digital therapeutics to expand the quality, scope, and accessibility of mental health care for youth.
Dr. Margolin uses mobile behavioral research methods to examine marital conflict and violence and resilience versus vulnerability in children. Her goal is to pinpoint factors that protect against romantic partner aggression and family violence. She directs the Family Studies Project.
Dr. Jones’ research focuses on mobile apps and technology-enhanced service models to increase engagement of low-income families of young children with disruptive behavior disorders. She aims to improve service delivery options for families that are vulnerable yet underserved.
Dr. Hajal is a child clinical psychologist whose primary interests are parenting and young children’s emotional development in the context of family stress and trauma, with a focus on using intensive and ecologically valid research techniques and experience sampling methodologies.
Dr. Wu’s research interests include statistical learning theory and model selection and averaging for high-dimensional data. Her work also focuses on Bayesian methodologies in multiple hypothesis testing and classification.
Dr. de Barbarbo’s work centers on computational behavioral science and integrates insights from clinical science, computer science, and electrical engineering. She uses mobile and wearable sensors to gain access into the daily experiences of mothers and their infants.
