Meet our team
Our emerging cluster is dedicated to fostering interdisciplinary collaboration, enhancing knowledge exchange, and building training capacity across UBC Departments of Mathematics, Statistics, Computer Science, Population and Public Health, and the Faculties of Food and Land Systems, and Pharmaceutical Sciences.
Our long-term vision is to establish an internationally recognized, sustainable hub that bridges theoretical advances in graphical causal modeling with practical applications in health research.
Cluster Leads
Ang Li
Department of Computer Science, Florida State University
Details / Bio →Ang Li
Research Focus: Personalized causal models, healthcare decision-making, theoretical foundations of causal AI.
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Boris Sobolev
School of Population and Public Health, Faculty of Medicine, UBC
Details / Bio →Boris Sobolev
Research Focus: Causal inference in health services, surgical timing outcomes, learning causal graphs from literature.
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Elias Bareinboim
Department of Computer Science, Columbia University
Details / Bio →Elias Bareinboim
Research Focus: Foundations of causal AI, counterfactual reasoning, data fusion and decision-making.
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Elina Robeva
Department of Mathematics, University of British Columbia (UBC)
Details / Bio →Elina Robeva
Research Focus: Causal discovery from real-world data, algebraic/geometric machine learning, complex data dependencies.
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Mahsa Jessri
Food, Nutrition, and Health Program, Centre for Health Services and Policy Research
Details / Bio →Mahsa Jessri
Research Focus: Causal impact of nutrition policies, nutritional epidemiology, predictive health outcome modeling.
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