Matteo Malgaroli, PhD

As an assistant professor at the Anxiety, Stress & Prolonged Grief and Computational Psychiatry programs at NYU Grossman School of Medicine and a licensed clinical psychologist at NYU Langone Psychiatry Associates, I am dedicated to integrating the art of understanding human narratives with innovative artificial intelligence (AI) tools to deliver more effective mental health care.

Throughout my career, I have focused on pioneering the use of AI to objectively measure mental states. For instance, I use natural language processing (NLP) to analyze therapy sessions, identifying linguistic markers that signal improvement or relapse. I also use AI language models to create scalable screening tools that reduce clinician burden while increasing diagnostic accuracy. These innovative approaches allow for more precise and timely interventions. A recent focus of my work has been using these technologic advances to support healthcare workers with digital mental health programs, providing mental health resources at the point of need.

By focusing on digital mental health approaches, I aim to innovate in ways that increase precision and scale delivery, reaching patients who might otherwise fall through the cracks.

My commitment to patient care involves active listening, transparency, and the use of advanced technologic tools to augment, but never replace, the human connection. My clinical expertise focuses on anxiety, stress, and mood disorders and their evidence-based treatments, including Prolonged Exposure (PE) therapy for post-traumatic stress disorder (PTSD). Additionally, I am certified and trained in prolonged grief disorder treatment and bring additional skills through dialectical behavior therapy (DBT) and mindfulness training.

My approach to mental health care is rooted in the belief that every patient's story matters. Having worked across inpatient, outpatient, military, and civilian settings, I adapt treatments to meet individual needs more effectively. I also work closely with NYU Langone's telemedicine platforms to expand access to care, increasing accessibility for patients facing barriers to in-person care.

My journey into psychiatry was driven by the potential to combine humanities with computational science. I was drawn to the field by the opportunity to develop digital tools that could help clinicians better understand their patients' experiences and tailor treatments more precisely. My educational background includes extensive training in both traditional and digital mental health approaches, supported by grants from the National Institute of Mental Health, the Defense Advanced Research Projects Agency, and the American Foundation for Suicide Prevention. These recognitions underscore the translational impact of my work and my commitment to bringing AI from the lab to the clinic, ensuring that our tools meet clinical needs and serve a wide range of patients.