The University of Calgary Biostatistics Centre

Biostatistics Supervisors

The following consists of a list of Biostatistics graduate student supervisors who have faculty positions in the Departments of Mathematics and Statistics and/or Community Health Sciences, along with their current research interests.

Mina Aminghafari, Mathematics and Statistics

Data science
Machine learning
Time series
Functional data analysis
Bioinformatics
Cancer detection
Co-clustering
Heavy-tailed data
Denoising

Email: mina.aminghafari@ucalgary.ca

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Thierry Chekouo, Mathematics and Statistics

Bioinformatics
Bayesian statistics
Computational statistics
Functional data analysis
High dimensional data analysis
Imaging-Genetics
Integromics
Variable selection
Clustering and bi-clustering

Email: thierry.chekouotekou@ucalgary.ca

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Rob Deardon, Mathematics and Statistics / Community Health Sciences (Adjunct) / Biostatistics Graduate Education Coordinator

Infectious disease modeling
Bayesian modelling
Computational statistics
Disease surveillance
Spatial epidemiology
Experimental design
Statistical learning & data science
Network meta analysis
High dimensional variable selection

Email: rob.deardon@ucalgary.ca

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Jessalyn Holodinsky, Community Health Sciences

Healthcare delivery optimization
Prediction of emergency department resource utilization
Emergency department throughput
Electronic medical record data
Supervised and unsupervised machine learning
Survival analysis
Generalized linear models

Email: Jessalyn.holodinsky@ucalgary.ca

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Karen Kopciuk, Math & Stats (Adjunct)

Multi-state models
Survival data analysis
Multivariate data analysis
Statistical genetics
Genetic risk
Genetic epidemiology

Email: kakopciu@ucalgary.ca

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Grace Kwong, Community Health Sciences (Adjunct)

Infectious disease modelling & epidemiology
Disease surveillance
Survival analysis models
Multi-state models
Clustering in individually randomized trials
Meta-analysis of time-to-event data
Clinical trials

Email: Grace.Kwong@ucalgary.ca

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Alexander de Leon, Mathematics and Statistics

Pseudo- and composite likelihood methods
Methods for correlated data
Models for discrete and continuous outcomes
Copula models
Assessment of diagnostic tests
Joint/mixed-effects models

Email: adeleon@ucalgary.ca

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Na Li, Community Health Sciences

Supervised & unsupervised learning
Machine learning algorithms
Operations research in healthcare (inventory management, queuing theory and optimization)
Applied statistical methods in medicine
Interface / platform development using R and/or Python
Data preprocessing methods on electronic health data

Email: Na.Li@ucalgary.ca

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Joon Lee, Community Health Sciences

Health data science & informatics
Big data & data mining
Machine learning, predictive analytics & artificial intelligence
Personalized health decision support
Data visualization
Health monitoring algorithms & mHealth
Natural language processing
Intensive care & aging
Population health surveillance

Email: joonwu.lee@ucalgary.ca

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Quan Long, Mathematics and Statistics (Adjunct)

Statistical Genetics
Machine Learning
Integration of multi-scale big data

Email: quan.long@ucalgary.ca

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Xuewen Lu, Mathematics and Statistics

Survival data analysis
Nonparametric and semiparametric models
Censored data and missing data analysis
Empirical likelihood
Variable selection and high-dimensional data analysis
Econometrics
Predictive microbiology

Email: xlu@ucalgary.ca

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Tolulope Sajobi, Community Health Sciences

Classification models for prediction in multivariate repeated measures data
Multivariate longitudinal data
Statistical methods for quality of life and behavioral outcomes
Variable importance methods for multivariate outcomes data
Multiple testing methods in clinical trials
Robust statistics

Email: ttsajobi@ucalgary.ca

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Alberto Nettel-Aguirre, Community Health Sciences (Adjunct)

Applications of biostatistics
Statistical learning
Data mining
Social network analysis
Health research
Shape analysis

Email: alberto.nettel-aguirre@albertahealthservices.ca

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Hua Shen, Mathematics and Statistics

Analysis of recurrent events
Longitudinal data analysis
Incomplete and missing data
Latent variables
Survival analysis
Mixture models
Causal inference
Statistical learning
Statistical consulting
Generalized linear models

Email: hua.shen@ucalgary.ca

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Tyler Williamson, Community Health Sciences

Generalized linear models with non-canonical link functions
Correlated binary data
Statistics for Epidemiology
Big Data Analytics
Methods for electronic medical record data

Email: tyler.williamson@ucalgary.ca

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Haixu Wang, Mathematics and Statistics

Machine learning
Funcitonal data analysis
Bayesian analysis
Generative models
Longitudinal/Spatial/Spatial-temporal data
Computational neuroscience
Monte Carlo methods
Network analysis
High-dimensional and complex data analysis

Email: haixu.wang@ucalgary.ca

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Jingjing Wu, Mathematics and Statistics

Inferences for semiparametric and nonparametric models
Minimum distance estimations
Asymptotic efficiency and robustness
Mixture models
Variable selection and classification for high-dimensional data
Case-control studies
Survival data analysis
Genetic studies

Email: jinwu@ucalgary.ca

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Ying Yan, Mathematics and Statistics (Adjunct)

Causal inference
Machine learning
Measurement error and missing data
Functional data analysis
High dimensional data analysis
Survival and event history analysis
Longitudinal data analysis
Epidemiology
Precision medicine
Statistical genetics

Email: ying.yan@ucalgary.ca

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Qingrun Zhang, Mathematics & Statistics

Machine learning
High-dimensional data mining
Bioinformatics
Genetics and multi-scale -omics

Email: qingrun.zhang@ucalgary.ca

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For more information about the Interdisciplinary Biostatistics graduate specializations, please contact the Program Coordinator, Prof. Rob Deardon (rob.deardon@ucalgary.ca).