2025/2026 Research Accelerator Award Projects

• Modeling of predator-prey dynamics of Goshawks and Squirrels – Christian Wiewelhove, University of British Columbia-Okanagan
• Genetic consequences of extreme climate-related events and the implications for management under global change – Daniel Pelletier, Simon Fraser University
• A Mathematical Approach to Investigate the Protein Aggregation in Alexander’s Disease – Lihini Kankanamge, University of Manitoba
• Bayesian Analysis of TransPhoM-DS – Puneet Velidi, University of Victoria
• Bayesian Multistate Capture Recapture Modelling on Marine Species – Arjun Banik, University of Victoria
• Differential Equations and Mathematical Modeling – Aditya Bhartia, University of Alberta
• Modeling Viral Pathogen Transmission Among Four Fish Species in \linebreak the Western Canadian Arctic: A Discrete-Time Stage-Structured Approach – Ghazale Farjam, University of Manitoba
• Modeling the Impact of Climate Change on Mountain Pine Beetle (Dendroctonus ponderosae) Cryoprotection Energy Allocation – Kevan Rasello, University of Victoria
• Evolution, Ecology, and Epidemiology – Mahdi Salehzadeh, Simon Fraser University
• Synthesizing heterogeneity longitudinal patient data using Dynamic Bayesian networks – Yihang Chen, University of Calgary
• Mathematical Framework for Integrative Representation Learning in Multi-Omics Data: An Application on Drug Response Prediction in Precision Oncology – Yuxuan Chen, University of Calgary
• Study the transmission of viral pathogens among four fish species in the Western Canadian Arctic, considering the impact of climate change – Clotilde Djuikem, University of Manitoba
• Developing Lattice Polygon Models of R-Loops, Optimizing Lattice Models of DNA to Experimental DNA Knotting Probabilities – Matthew Schmirler, University of Saskatchewan

2024/2025 Research Accelerator Award Projects

• A quantitative understanding of the experience of people who use opioids in British Columbia – Karan Bains, University of British Columbia
• Unraveling Dolly Varden Survival Patterns: A Bayesian Multi-state Approach with Covariate Considerations – Arjun Banik, University of Victoria
• Using machine learning to analyze R-loop imaging data -Berkant Cünnük, University of Manitoba
• Penalized Models for Cancer Prognosis and Treatment Response – Mojtaba Kanani Sarcheshmeh, University of Calgary
• Integrating Control Theory and EEG Data Analysis for Advancing Parkinson’s Disease Research – Maryam Kiakojouri, University of Lethbridge
• Identifying Paired Antigen Receptor Subunits from Spatial Gene Expression Data for Ovarian Cancer – Flora (Yimeng) Liu, University of Victoria
• Validation of biomechanical models of oocyte cryopreservation damage – Dominic Olver, University of Saskatchewan
• Impact of Government Policies and Opinion Dynamics on the COVID-19 Pandemic in the Yukon Territory and the British Columbia (Interior) of Canada – Md. Mijanur Rahman, University of British Columbia, Okanagan
• Mathematical Biology Heterogeneous Disease Modelling – Alexandra Shyntar, University of Alberta
• Bayesian behavioural change epidemic models – Madeline Ward, University of Calgary
• Agricultural green house gas emissions modeling for citizen- and data-driven research in agroecology, University of British Columbia
• Study the transmission of viral pathogens among four fish species in the Western Canadian Arctic, considering the impact of climate change. – Clotilde Djuikem, University of Manitoba
• Zahresh Walji, Simon Fraser University