AI4PH Scholarship 2023-2024

Cohort In a remarkable display of academic excellence, our biostatistics PhD students have been awarded the prestigious AI4PH Scholarship for the 2023-2024 academic year: Xinyang (Sean) Feng and Zijin Liu.

Congratulations!

Xinyang (Sean) Feng

PROJECT TITLE: Dynamic Prediction Models For Tooth Loss Incorporating Longitudinal Tooth-level Predictors

Xinyang is a PhD student in Biostatistics at the Dalla Lana School of Public Health, University of Toronto. His research interests focus on the development of dynamic prediction models that fully incorporate changes in longitudinal predictors, with the ability to account for within-cluster correlation in complex multilevel data.

Zijin Liu

PROJECT TITLE: High-dimensional Mediation Analysis Methods for Identifying Causal Pathways from COVID-19 Related Policy Changes to Radiotherapy Adverse Events

Zijin is a biostatistics PhD student at the Dalla Lana School of Public Health, University of Toronto. He completed his MMath degree in statistics from the University of Waterloo. His research interests focus on integrating machine learning/artificial intelligence methods into the causal inference framework and developing Bayesian statistical methodologies for clinical or public health applications.

For more information on the AI4PH traineeships and other initiatives, visit the AI4PH official website.

Congratulations to Xinyang and Zijin on their achievements!

We invite the community to follow their journey and support their impactful research.