Data Science
Platform Leadership
Rudolf Uher, MD, PhD
Frank Rudzicz, PhD
Platform Operations
The Data Science Platform operates at the following research site:
- Dalhousie University (Halifax, Nova Scotia)
Platform Overview
The Data Science Platform is guided by the central question: “Which individual will benefit most from which treatment?” To address this, the platform uses both hypothesis-driven and data-driven computational approaches to analyze large, integrated datasets collected across all CAN-BIND platforms. These data are processed and examined using modern computational methods to better understand patterns in treatment response and to identify meaningful subtypes of depression.
In addition to prediction, the platform focuses on identifying patterns across symptoms, behaviours, and treatment outcomes that may not be easily visible through traditional analyses. By applying computational approaches to complex, multi-source data, the platform aims to capture relationships and trends that can inform a more precise understanding of depression and its treatment.
This work supports the development of practical, data-informed tools that can help guide treatment decisions in clinical settings and improve how new treatments are discovered and evaluated. To achieve these goals, CAN-BIND’s multidisciplinary Data Science Platform brings together expertise in computational approaches, machine learning, biostatistics, and data integration, ensuring that diverse data sources can be effectively combined and interpreted.