1 - Transformer-based Machine Learning Framework Towards Childhood Mental Health Screening
Tracks
| Tuesday, May 12, 2026 |
| 11:20 AM - 12:35 PM |
Overview
Oral Presentation
Presented by: Dr. Alibek Kruglikov
Details
By the end of this session participants will be able to:
-Describe how transformer-based architectures can be applied to population-level health data for predicting neurodevelopmental and other mental health outcomes.
-Explain the role of explainable AI in enhancing transparency and trust in predictive models for pediatric mental health care.
Speaker
Dr. Alibek Kruglikov
Postdoctoral Fellow
Children's Hospital of Eastern Ontario Research Institute (CHEO-RI), Better Outcomes Registry and Network (BORN) Ontario
Presenter
Biography
Alibek Kruglikov is a Postdoctoral Fellow at the CHEO Research Institute, where he focuses on advancing autism spectrum disorder (ASD) screening through the use of artificial intelligence. He completed his PhD at the University of Ottawa and has taught Data Science and Machine Learning. His research interests center on developing and applying AI solutions to improve healthcare outcomes. Outside of work, Alibek enjoys movies, music and playing soccer.