Math Meets Mind: Applied Mathematics in Neuropsychiatry
How mathematical theories help us model and understand psychiatric conditions.
D.M.Sc., M.M.Sc. (Wa-lead Ya-seen)
Assistant Professor of Psychiatry at Harvard Medical School
Staff Scientist at Beth Israel Deaconess Medical Center
Using AI, ML, statistical approaches and mathematical theories to understand the brain, mind and behavior across the psychosis and autism spectra.
Ongoing signal
Psychosis spectrum/Autism spectrum
Our work also extends to conditions with high comorbidity, including:
Neuroimaging/Cognition
Complemented by physiological, behavioral, genetic and environmental measures, including:
Artificial intelligence/Applied mathematics
Spanning machine learning, large language models and mathematical modeling, including:
Use clustering, classification, recurrent neural networks and LLMs to understand neuropsychiatric conditions.
Use mathematical theory to model neuropsychiatric conditions and to explain how and why they develop.
Apply statistical methods to delineate differences between and within conditions, and relative to the typically developing population.
Interested in joining a project? Tell me which path appeals to you and what you'd like to learn.
Get in touchMachine-learning algorithms that classify schizophrenia, autism and early psychosis from brain MRI scans. They are designed to make psychiatric assessment more reliable.
A computational model of how the brain reads emotion in faces, extended to simulate how people with different psychiatric conditions perceive them.
Exposotypes in psychotic disorders
Yassin W, Kromenacker B, Green JB, … Keshavan MS — Scientific Reports
Cognitive subtypes in youth at clinical high risk for psychosis
Yassin W, Green JB, Keshavan M, … Stone WS — Psychiatry and Clinical Neurosciences
The neurodiversity framework in medicine: on the spectrum
Miranda-Ojeda R, Wickramasinghe A, Ntolkeras G, Castanho I, Yassin W — Developmental Neurobiology
Biomarker discovery using machine learning in the psychosis spectrum
Yassin W, Loedige KM, Wannan CMJ, … De Nadai AS — Biomarkers in Neuropsychiatry
The schizophrenia syndrome, circa 2024: what we know and how that informs its nature
Tandon R, Nasrallah H, … Yassin W, Keshavan M — Schizophrenia Research
Jang YJ, Yassin W — Nature Mental Health
Yassin W, Nakatani H, Zhu Y, … Yamasue H, Koike S — Translational Psychiatry
Paternal age contribution to brain white matter aberrations in autism spectrum disorder
Yassin W, Kojima M, Owada K, … Yamasue H — Psychiatry and Clinical Neurosciences
CoursesHarvard College
How mathematical theories help us model and understand psychiatric conditions.
A methods-first tour of how we measure and analyze brain, mind and behavior.
I have mentored trainees at Harvard College, HMS, GSAS, BIDMC, MGH, McLean and Boston Children's, from undergraduates to research fellows.
InitiativesFounded
Neurodiversity education through research, training and mentorship at Global Mental Health@Harvard, including the MIND MATCH program that pairs students with faculty mentors.
University-wide neurodiversity training, a ThinkResearch podcast series with Harvard Catalyst, and grand rounds at MMHC and BIDMC.
A community and advocacy group for neurodivergent faculty and staff across Harvard.
Grand Rounds redesigned from a lecture series into debates, case discussions, interviews and salons.
Honors
In the press
If you're interested in a research path, please include your CV and the path you'd like to explore. I also welcome collaborators, speaking invitations and media requests.