PhD Job Market Candidates

CANSSI Ontario’s Ph.D. Job Market Candidates board highlights Ph.D. students from CANSSI Ontario member institutions who are graduating by July 2022 and looking for jobs in academia or industry.

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Candidates
Candidates

Gracia Dong

Website | Email | CV

Department of Statistics and Actuarial Science, University of Waterloo.

Areas of Interest: Monte Carlo, Quasi-Monte Carlo, Simulation, Numerical Integration Statistics,

Publications:

On the dependence structure of scrambled (t, m, s)-nets

Supervisors: Christiane Lemieux

Sean Hellingman

Website | Email | CV

Mathematical and Statistical Modelling, Wilfrid Laurier University.

Areas of Interest: Sports Analytics, Applied Statistics

Publications:
Psychosocial factors and cancer incidence (PSY-CA): Protocol for individual participant data meta-analyses

Analysis of a Successful Draft with Mixed Effects Logistic Regression Models

Social selectivity in higher education: A case study of Canada and the Czech Republic

Supervisors: Dr. Zilin Wang, Dr. Mary Thompson

Yawo Kobara

Website | Email | CV

Department of Statistical and Actuarial Sciences, University of Western Ontario.

Areas of Interest: Operation Research, Statistics, Biostatistics, Actuarial Science, Finance.

Supervisors: David Stanford, Camila de Souza

François-Michel Boire

Website | Email | CV

Department of Statistical and Actuarial Sciences, University of Western Ontario.

Areas of Interest: Finance, Economics, Statistics.

Publications:

American Option Pricing with Importance Sampling and Shifted Regressions.

Efficient Variance Reduction with Least-Squares Monte Carlo Pricing.

Shaping the future: Policy shocks and the GDP growth distribution.

Supervisors: Lars Stentoft, R. Mark Reesor

Jeffrey Negrea

Website | Email | CV

Department of Statistical Sciences, University of Toronto.

Areas of Interest: Statistical Learning Theory, Computational Statistics, Online Learning, Applied Probability.

Publications:

Minimax Optimal Quantile and Semi-Adversarial Regret via Root-Logarithmic Regularizers.

Relaxing the IID Assumption: Adaptively Minimax Optimal Regret via Root-Entropic Regularization.

Information-Theoretic Generalization Bounds for SGLD via Data-Dependent Estimates.

Supervisor: Daniel M. Roy

Dylan Spicker

Website | Email | CV

Department of Statistics and Actuarial Science, University of Waterloo.

Areas of Interest: Causal Inference; Dynamic Treatment Regimes; Measurement Error; Machine Learning; Interpretability; Biostatistics.

Publications:

Measurement error and precision medicine: Error-prone tailoring covariates in dynamic treatment regimes

Nonparametric Simulation Extrapolation for Measurement Error Models (Preprint)

Generalizations to Corrections for the Effects of Measurement Error in Approximately Consistent Methodologies (Preprint)

Supervisors: Michael Wallace, Gracy Yi

Zehao Xu

Website | Email | CV

Department of Statistics and Actuarial Science, University of Waterloo.

Areas of Interest: Data Visualization, Data Science, Machine Learning, NLP, Deep Learning, Statistics.

Publications:

A Grammar Of Interactive Graphics.

Exploring data by interactive visualization: an introduction to the loon system.

Supervisor: Wayne Oldford