Contact Information:
Bovas Abraham
Research interests
Research interests are in time series analysis and statistical methods for quality improvement.
Contact Information:
Ilham Akhundov
Mathematics, Business and Accounting programs
Research interests
Asymptotic methods in probability theory and mathematical statistics.
Contact Information:
Doug Andrews
Research interests
After a successful career as an actuary and a Chartered Financial Analyst (CFA), I am contributing to the actuarial profession through research, university teaching and advising those interested in joining the profession. My research has an international perspective and is designed to produce practical policy recommendations. It is focused on investments, risk management, financial economics, aging, and their implications for the management of social support systems, such as pensions, health care, and long-term care.
Contact Information:
Peter Balka
Research interests
Statistics education.Education/biography
Peter has been program director for the Math/CA program since 2006. Prior to his appointment as faculty lecturer in the Department of Statistics and Actuarial Science at the University of Waterloo in 2003, Peter was a faculty member at the University of Alberta and at the College of the Rockies. Peter has a BSc and MSc (biostatistics) from the University of Guelph.
Contact Information:
Surya Banerjee
Research interests
Statistics, game theory, development economics, and economic theory.
Contact Information:
Audrey Béliveau
Research Interests
My research is mainly concerned with Bayesian hierarchical modeling and is motivated by applications in a variety of fields, namely ecology and epidemiology. A lot of the problems I work on involve the integration of multiple sources of data in a single analysis (e.g. network meta-analysis in epidemiology and integrated population modeling in ecology). I have a number of interdisciplinary collaborations with academics as well as industry partners.
Contact Information:
Christian Boudreau
Research interests
Professor Boudreau's research interests include survival analysis, event history analysis, survey sampling, and longitudinal data.
Contact Information:
Robert Brown
Research interests
Rob’s research focus is the design of financial security programs in times of rapidly shifting demographics. In his 39 years at Waterloo, Rob wrote seven books and over 50 refereed papers.
Contact Information:
Steve Brown
Research interests
Professor Brown is a biostatistician whose research interests include the development of statistical methods for the design of community-based interventions, the analysis of longitudinal data collected from studies of interventions designed to affect health behaviours, and the design and analysis of observational studies of health behaviour.
Contact information:
Ryan Browne's personal website
Research interests
Ryan’s current research focus is model-based clustering and classification. In addition he is interested in measurement models, specifically in assessing the quality of a measurement system. This work was the focus of his PhD thesis.
Contact Information:
Jun Cai
Research interests
Professor Jun Cai's research interests are in the fields of actuarial science, applied probability, and mathematical finance, with focuses currently on quantitative risk management for insurance and finance, insurance decision problems, dependence modelling, and risk analysis with model uncertainty.
Contact Information:
Shoja Chenouri
Research interests
Professor Chenouri's research interests include:
Data depth, Multivariate nonparametric and robust methods for complete, censored and incomplete data, Multivariate quality control, Geometry of high-dimensional data, Dimensionality reduction,
Contact Information:
My personal website
My books with Jerry Lawless
Biostatistics graduate program
Research interests
My research interests include the development and application of statistical methods for public health. Specific areas of interest include the analysis of life history data, longitudinal data, incomplete data, sequential methods, multivariate analysis, clinical trial design, and the assessment of diagnostic tests.
Contact Information:
Cecilia Cotton
Research interests
The underlying theme of my research interests is using longitudinal data to solve problems in public health:
Inference for comparing survival across multiple dynamic treatment regimens based on observational longitudinal data. Applications to epoetin dosing strategies for hemodialysis subjects with chronic kidney disease. Joint modeling of longitudinal and survival data in the context of causal inference.
Contact Information:
Dina Dawoud
Research interests
Statistics education.
Education/biography
Master of Mathematics, Biostatistics (co-op program), University of Waterloo Bachelor of Science, Honours in Statistics, University of KwaZulu-Natal, Durban, South Africa Bachelor of Science, Actuarial Science and Statistics, University of KwaZulu-Natal, Durban, South Africa
Contact Information:
Charmaine Dean
Role & Research Interests
Charmaine Dean is Vice-President, Research and Professor in the Department of Statistics and Actuarial Science at the University of Waterloo. Her research interest lies in the development of methodology for disease mapping, longitudinal studies, the design of clinical trials, and spatio-temporal analyses. Much of this work has been motivated by direct applications to important practical problems in biostatistics and ecology. Her current main research applications are in survival after coronary artery bypass surgery, mapping disease and mortality rates, forest ecology, fire management, smoke exposure estimation from satellite imagery, and modeling of temporary and intermittent stream flow for flood analysis and predictions.
Contact Information:
Liqun Diao
Research Interests
I am interested in developing and applying data-driven statistical methods and machine learning algorithms to advance knowledge in fields including medicine, public health, and insurance. I have been working on a broad spectrum of areas including recursive partitioning learning, causal inference, dependence modelling, Bayesian methods, and two-phase design.
Contact Information:
Steve Drekic
Steve Drekic's Google Scholar profile
Research interests
Professor Drekic has co-authored over 40 articles, and has published in key journals across several disciplines, including actuarial science, operations research, and statistics. His work has garnered particular attention in the fields of applied probability, insurance risk/ruin theory, and queueing theory. Professor Drekic's expertise lies in the use of probabilistic/stochastic techniques with advanced computational methods to analyze mathematical problems arising in several different application areas.
Contact Information:
Joel Dubin
Health Data Science Lab (HDSL) Lead:
Research interests
My primary research interest is in the area of methodological development in longitudinal data analysis, including for multivariate longitudinal data, where more than one outcome, (e.g., systolic and diastolic blood pressure) are each followed for individuals over time. Methods pursued for this type of data include the correlation of different longitudinal outcomes over time using curve-based methods, and incorporating lags and derivatives of the curves. I am also interested in change point and latent response models for longitudinal data, as well as prediction models, including the consideration of similarity to improve prediction accuracy.
Contact Information:
Ben Feng
Research Interests
Professor Feng’s research interests include quantitative risk management, financial engineering, Monte Carlo simulation design and analysis, and nonlinear optimization.
Professor Feng is particularly interested in the intersection of these fields such as statistical machine learning, portfolio optimization, efficient simulation algorithms for risk management, etc. My professional background in actuarial science guides my research towards applying advanced theoretical methodologies to solve complex practical problems.
Contact Information:
Ali Ghodsi
Research interests
Machine learning, Deep learning, Computational statistics, Dimensionality reduction, Natural language processing, Bioinformatics.
Professor Ghodsi's current research sweeps across a broad swath of AI encompassing machine learning, deep learning, and dimensionality reduction. He studies theoretical frameworks and develops new machine-learning algorithms for analyzing large-scale data sets, with applications in natural language processing, bioinformatics, and computer vision. Dr. Ghodsi's work has been published extensively in high-quality proceedings and journals. He is the co-author of the "Elements of Dimensionality Reduction and Manifold Learning" (Springer) and several US patents. His popular lectures on YouTube have more than one million views. View a complete list of his online lectures.
My research is mainly concerned with model uncertainty and the modern theory of choice under uncertainty and ambiguity, and with their use and applications in insurance, risk measurement and management, quantitative behavioral finance, and the theory of risk sharing.
More information on my personal webpage.
Contact Information:
Mary Hardy
Research:
My research focuses on risk management strategies for long term contingent risks. The work is problem-driven, using theory and methodology from financial engineering, statistics and actuarial science. Much of my current research seeks to measure and promote fairness, efficiency and transparency in the design and implementation of insurance and pension risk solutions.
Contact Information:
Jeanette O'Hara Hines
Research interests
Jeanette O'Hara Hines' research has focused on the practical needs of researchers in the biological sciences, who frequently pose challenges with new ways of gathering data, or with new objectives. Jeanette's ongoing research project is the analysis of clustered or longitudinal data with categorical responses, a type of data frequently gathered in the biological and medical areas.
