Longhai Li @ University of Saskatchewan

Information for Prospective Students

My research activities are computationally intensive, aiming to develop new data analysis software and solve real life science problems. Therefore, I demand that my students have been trained sufficiently in computer programmings, such as in R, Python, and C++, and also have strong backgrounds in mathematics and statistics. It is not required that students come with all of these skills. However, they are expected to demonstrate abilities and enthusiasm to grasp these skills.

Graduate students

In Progress

  1. Tingxuan Wu, PhD since 2019, co-supervised with Prof. Cindy Feng

    Project: Bayesian Randomized Survival Probability Residual for Spatial-Temporal Data with Censoring

  2. Man Chen, M.Sc. since 2018.

    Project: Predictive Analysis for Microbiome Data Related to Parkinson Disease

Completed

  1. Mei Dong, M.Sc., 2019, co-supervised with Prof. Lloyd Balbuena

    Thesis: Feature Selection Bias in Assessing the Predictivity of SNPs for Alzheimer's Disease

    Employment: Senior Research Analyst at the University of Toronto.

  2. Xiaoying Wang, M.Sc., 2019

    Thesis: Comparison of Statistical Testing and Predictive Analysis Methods for Feature Selection in Zero-inflated Microbiome Data

  3. Tingxuan Wu, M.Sc. in biostatistics, 2018, co-supervised with Prof. Cindy Feng

    Thesis: Randomized Survival Probability Residuals for Assessing Parametric Survival Models

    Employment: PhD student at the University of Saskatchewan

  4. Wei Bai, M.Sc., 2018, co-supervised with Prof. Cindy Feng

    Thesis: Randomized Quantile Residual for Assessing Generalized Linear Mixed Models with Application to Zero-Inflated Microbiome Data

    Employment: Statistical Programmer, Everest Clinical Research, Markham, Ontario, since September 2018.

  5. Arash Shamloo, M.MATH (project-based), 2017

    Project: Randomized quantile residuals for accelerated failure time models

    Employment: Research assistant, College of Pharmacy and Nutrition, University of Saskatchewan.

  6. Yunyang Wang, M.Sc., 2016

    Thesis: Comparison of Stochastic Volatility Models Using Integrated Information Criteria

    Employments: Statistician at Montreal office of Evidera (a PPD company), Montreal, QC, from March 2017; Intern at the PathWise Solutions, AON Securities, Toronto, July - November, 2016;

  7. Alireza Sadeghpour, M.Sc., 2016, co-supervised with Prof. Cindy Feng

    Thesis: Empirical Investigation of Randomized Quantile Residuals for Diagnosis of Non-Normal Regression Models

    Employment: Statistician at Health Canada, Ottawa, from Jan 2018; Research assistant, College of Pharmacy and Nutrition, University of Saskatchewan, May 2017 - Jan 2018.

  8. Naorin Islam, M.Sc., 2016, co-supervised wtih Prof. Khan

    Thesis: Substance Abuse and Health: A Structural Equation Modeling Approach to Assess Latent Health Effects

    Employment: Research assistant, College of Pharmacy and Nutrition, University of Saskatchewan.

  9. Lai Jiang, Ph.D., 2015

    Thesis: Fully Bayesian T-probit Regression with Heavy-tailed Priors for Selection in High-Dimensional Features with Grouping Structure

    Employment: Postdoctoral fellow at Lady Davis Institute, Jewish General Hospital, McGill University in Montreal from May 2016 to present.

  10. Shi Qiu, M.Sc., 2015 (co-supervised with Cindy X. Feng)

    Thesis: Cross-validatory Model Comparison and Divergent Regions Detection using iIS and iWAIC for Disease Mapping

    Paper: Approximating Cross-validatory Predictive Evaluation in Bayesian Latent Variables Models with Integrated IS and WAIC.

    Employment: "Data Service Specialist" at IRD Inc. in Saskatoon from August 2015 to present.

  11. Masud Rana, M.Sc., 2012 (co-supervised with Prof. Shahed Khan)

    Thesis: Spatial-Longitudinal Bent-Cable Model with an Application to Atmospheric CFC Data

    Paper: A Statistical Investigation to Monitor and Understand Atmospheric CFC Decline with the Spatial-Longitudinal Bent-Cable Model.

    Employments: Biostatistician at Clinical Research Support Unit by College of Medicine of University of Saskatchewan in 2012; Ph.D. student at Victoria University.

  12. Zhengrong Li, M.Sc., 2012.

    Thesis: A Non-MCMC Procedure for Fitting Dirichlet Process Mixture Models

    Patent: Vehicle Type Recognition at a Checkpoint Using PCA and BIC

    Employments: Data Service Specialist at IRD Inc. in Saskatoon from 2008 to 2014; Business Data Analyst and Quantitative Research Analyst at Saskatchewan Workers’ Compensation Board in Regina from 2014 to 2016; Statistical Analyst at Alberta Health Services in Calgary from 2016.

Undergraduate Students

  1. Xinyu Liu, undergraduate research assistant, 2019

    Project title: Development of an R package for Bayesian Hyper-LASSO Logistic Regression

  2. Jian Su, undergraduate research assistant, 2018

    Project title: Development of Bayes Predictive Models based on Generalized Linear Mixed Models with application to microbiome data

  3. Jiaqi Xiao, undergraduate research assistant, 2015

    Project title: Application of iIS and iWAIC to Compare Models for Economic Data.

    Employment: M.Sc. student at Queen's University

  4. Zhouji Zheng, undergraduate research assistant, 2014 and 2015

    Project title: Application of Importance Sampling to Compare Bayesian Stochastic Volatility Models.

    Employment: M.Sc. student at the University of Toronto

  5. Bei Zhang, undergraduate research assistant, 2013

    Project title: Cross-validatory Model Checks with iIS for Logistic Random Effect Models

    Paper: Approximating Cross-validatory Predictive Evaluation in Bayesian Latent Variables Models with Integrated IS and WAIC.