Upcoming Events

SPEAKER #1 Mumu Aktar

Institution: University of Calgary

Presentation Title: A Multitask Learning Approach for Segmenting Brain Tumor Sub-regions: Towards Better Generalization

Speaker Bio:

Mumu Aktar is a Postdoctoral Associate at the University of Calgary and holds a PhD in Computer Science from Concordia University. Her research focuses on applying artificial intelligence and large language models in the medical domain to support clinical decision-making and improve patient outcomes. She is passionate about teaching, mentoring, and developing intelligent tools that help clinicians streamline treatment workflows and save valuable time.

SPEAKER #2 Earvin Tio

Institution:
Centre for Addiction and Mental Health

Presentation Title:
Understanding the Biopsychosocial Mechanisms of Risk for Suicide using a Resilience-Based Machine Learning Approach

Speaker Bio:
Earvin S. Tio completed his PhD in Medical Science with a minor in Neuroscience at the University of Toronto under the supervision of Professor Daniel Felsky at the Centre for Addiction and Mental Health. Earvin’s research focuses on using machine learning to unravel the biopsychosocial mechanisms that underlie mental illness, particularly suicidal behaviours. He has experience working with various data modalities (e.g., clinical/tabular, multiomic, neuroimaging) from multiple sources ranging from treatment-seeking clinical populations to biobank-scale population data. Prior to his PhD, Earvin completed his BASc in Systems Design Engineering with a minor in Artificial Intelligence at the University of Waterloo, during which he held research positions at the university, at SickKids hospital, and at Sunnybrook hospital. He also studied computer science at École Polytechnique Fédérale de Lausanne.

Webinar Registration link: https://us06web.zoom.us/webinar/register/3217374850132/WN_dGwKsK1dTVOUWkh1qv8WuA

 

Event Website Event Category: CNS-PDS