International Day of Women and Girls in Science | 2022

On December 22, 2015, the United Nations General Assembly established February 11 as the International Day of Women and Girls in Science “to recognize the critical role women and girls play in science and technology”.

With this post we want to recognize and profile women in statistical sciences at CANSSI Ontario partner universities.

Thank you to everyone for kindly participating in this post and on the CANSSI Ontario Twitter feed.

  1. Brock University
  2. McMaster University
  3. Queen’s University
  4. University of Ottawa
  5. University of Toronto
  6. University of Waterloo
  7. Western University
  8. Wilfrid Laurier
  9. York University
Name/TitleFeatured WorksCard
Tianyu Guan, Assistant ProfessorGuan, T., Lin, Z., and Cao, J., Estimating Truncated Functional Linear Models with a Nested Group Bridge Approach, Journal of Computational and Graphical Statistics, Volume 29,2020, 620-6282.

Guan, T., Nguyen, R., Cao, J., and Swartz, T., In-Game Win Probabilities for the National Rugby League, 2021, accepted by Annals of Applied Statistics
Xiaojin Xu, ProfessorX. Xu, and S. Sinha, 2021. Robust Designs for Generalized Linear Mixed Models with Possible Misspecification. Journal of Statistical Planning and Inference, 210, 20-41.

X. Xu, and M. Krzeminski, 2018. Optimal Designs for Accelerated Life Tests with Multiple Stress Factors and Heteroscedasticity. Communications in Statistics - Theory and Methods, 47(6), 1273-1306.
Name/TitleFeatured WorksCard
Sharon McNicholas, Assistant ProfessorMcNicholas, S.M., McNicholas, P.D. and Ashlock, D. (2020). ‘An Evolutionary Algorithm with Crossover and Mutation for Model-Based Clustering’, Journal of Classification, 38(2), 264-279.

Ashlock, D. and McNicholas, S. (2013), ‘Fitness landscapes of evolved apoptotic cellular automata.’ IEEE Transactions on Evolutionary Computation 17(2), 198–212.
Name/TitleFeatured WorksCard
Raluca Balan, ProfessorBalan, R. M. and Conus, D. (2016). Intermittency for the wave and heat equations with fractional noise in time. Annals of Probability 44, 1488-1534.

Balan, R. M., Jolis, M. and Quer-Sardanyons, L. (2015). SPDEs with affine multiplicative fractional noise in space with index H in (1/4,1/2). Electronic Journal of Probability 20, no. 54, 1-36.
Kelly Burkett, Associate ProfessorZang Q, Xu C, Burkett KM. SMLE - An R Package for Joint Feature Screening in Ultrahigh-dimensional GLMs. R package.

Onifade MY, Roy-Gagnon MH, Parent ME, Burkett KM. Comparison of mixed model based approaches for correcting for population substructure with application to extreme phenotype sampling. BMC Genomics, 23: Article number 98, 2022.
Jemila S. Hamid, ProfessorHamid, J.S., Atenafu, E.G., Borkhoff, C.M. et al. Reference intervals for hemoglobin and mean corpuscular volume in an ethnically diverse community sample of Canadian children 2 to 36 months. BMC Pediatr 21, 241 (2021).

Hamid J.S., Jana S. (2020) Some Tests for the Extended Growth Curve Model and Applications in the Analysis of Clustered Longitudinal Data. In: Holgersson T., Singull M. (eds) Recent Developments in Multivariate and Random Matrix Analysis. Springer, Cham.
Tanya Schmah, Associate ProfessorMachine translation of mathematical text, A Ohri, T Schmah - IEEE Access, 2021 -

Diffeomorphic image matching with left-invariant metrics, T Schmah, L Risser, FX Vialard - Geometry, Mechanics, and Dynamics, 2015 - Springer
Termeh Kousha, Adjunct Professor | Executive DirectorSzyszkowicz M, Zemek R, Colman I, Gardner W, Kousha T, Smith-Doiron M (2020) Air Pollution and Emergency Department Visits for Mental Disorders among Youth. Int. J. Environ. Res. Public Health 2020, 17, 4190.

B. Collins, T. Kousha, R. Kulik, T. Szarek, K. Zyczkowski (2017). The Accessibility of Convex bodies and Derandomization of the Hit and Run Algorithm. Journal of Convex Analysis 24 (2017), No. 3.
Name/TitleFeatured WorksCard
Elif Acar, Associate ProfessorAcar E, Czado C, Lysy M (2019). Flexible dynamic vine copula models for multivariate time series data. Econometrics and Statistics, 12, 181-197.

Acar E, Azimaee P, Hoque ME  (2019). Predictive assessment of copula models. Canadian Journal of Statistics, 47(1), 8-26.
Monica Alexander, Assistant ProfessorAlexander, M., Polimis, K. and Zagheni, E. (2019), The Impact of Hurricane Maria on Out-migration from Puerto Rico: Evidence from Facebook Data. Population and Development Review, 45: 617-630.

Alexander, M. and Alkema, L., Global estimation of neonatal mortality using a Bayesian hierarchical splines regression model. Demographic Res. 38, 15: 335–372.
Shelley Bull, Professor and Senior InvestigatorSB Bull, IL Andrulis, AD Paterson. Statistical Challenges in High-Dimensional Molecular and Genetic Epidemiology. Canadian Journal of Statistics, Special Issue on Big Data and the Statistical Sciences, 2018 Feb; 46(1): 24-49.

O Espin-Garcia, RV Craiu, SB Bull. Two-phase sample selection strategies for design and analysis in post-genome wide association fine-mapping studies, Statistics in Medicine, 2021 Dec 30;40(30):6792-6817.
Liza Bolton, Assistant Professor, Teaching StreamMoon, Bolton, Taback, Caetano & Whitehead-Douglas. (2021). Independent Summer Statistics Community (ISSC): Building a sustainable online undergraduate student community with Cocurricular Activities and Experiential Learning Opportunities. Presented at the Statistical Society of Canada Annual Meeting 2021.

Fergusson & Bolton. (2018). Exploring modern data in a large introductory statistics course. Presented at the International Conference on Teaching Statistics.
Samantha-Jo Caetano, Assistant ProfessorAlexander, R., Caetano, S. J., Chen, H., Chong, M., Collins, A., Deng, S., ... & Wankiewicz, M. (2021). An Introduction to DoSStoolkit. arXiv preprint arXiv:2105.09347
Fanny Chevalier, Assistant ProfessorMinfan Zhang, Daniel Ehrmann, Mjaye Mazwi, Danny Eytan, Marzyeh Ghassemi, Fanny Chevalier. Get To The Point! Problem-Based Curated Data Views To Augment Care For Critically Ill Patients. SIGCHI Conference on Human Factors in Computing Systems (CHI ‘22). In press.

Pierre Dragicevic, Yvonne Jansen, Abrhaneel Sarma, Matthew Kay, Fanny Chevalier. Increasing the Transparency of Research Papers with Explorable Multiverse Analyses. SIGCHI Conference on Human Factors in Computing Systems (CHI '19). Paper 65.
Katherine Daignault, Assistant Professor, Teaching StreamDaignault, K., Lawson, K.A., Finelli, A. and Saarela, O. (2019) Causal mediation analysis for standardized mortality ratios. Epidemiology, July, 30(4): 532-540.

Daignault, K. and Saarela, O. (2017). Doubly robust estimator for indirectly standardized mortality ratios. Epidemiologic Methods, 6(1).
Alison Gibbs, Professor, Teaching StreamThe Building Blocks of Statistical Education in the Data Science Ecosystem. Published in Harvard Data Science Review, 2021 with Nathan Taback.

Computational skills by stealth in introductory data science teaching. Published in Teaching Statistics vol. 43, 2021, with Wesley Burr, Fanny Chevalier, Christopher Collins, Raymond Ng, Chris J Wild.
Silvana Pesenti, Assistant ProfessorI am one of the authors and maintainer of the R package called SWIM (Scenario Weights for Importance Measurement)

Pesenti, S.M and Jaimungal, S. Portfolio Optimisation within a Wasserstein Ball.
Lei Sun, ProfessorZhang L, Sun L (2022). A generalized robust allele-based genetic association test. Biometrics.

Chen B§, Craiu RV, Strug LJ, Sun L (2021). The X factor: a robust and powerful approach to X-chromosome-inclusive whole-genome association studies. Genetic Epidemiology.
Bethany White, Associate Professor, Teaching Stream and Associate Chair, Undergraduate Studies in StatisticsSongsore, E and White, BJG (2018) “Students’ Perceptions of the Future Relevance of Statistics after Completing an Online Introductory Statistics Course”. Statistics Education Research Journal. 17(2), 120–140.

White, B (Jun 26, 2020) “Charting a New Course: Teaching Statistics in a Virtual World”, Statistical Society of Canada (SSC) webinar, Available here
Vicki Zhang, Associate ProfessorBook: Uncalculated Risks: The transformation of insurance, the erosion of regulation, and the economic and social consequences (Canadian Scholars' Press, 2014).
Yuchong Zhang, Assistant ProfessorM. Nutz and Y. Zhang (2020). Conditional Optimal Stopping: A Time-Inconsistent Optimization, Annals of Applied Probability, 30(4), 1669-1692.

J. Cvitanic, E. Bayraktar and Y. Zhang (2019). Large Tournament Games, Annals of Applied Probability, 29(6), 3695-3744.
Name/TitleFeatured WorksCard
Charmaine Dean, Professor and Vice-President, Research and InternationalDexen DZ. Xi & C.B. Dean & Stephen W. Taylor, 2020. "Modeling the duration and size of extended attack wildfires as dependent outcomes," Environmetrics, John Wiley & Sons, Ltd., vol. 31(5), August.

Nadeem Khurram, Taylor S. W., Woolford Douglas G., Dean C. B. (2019) Mesoscale spatiotemporal predictive models of daily human- and lightning-caused wildland fire occurrence in British Columbia. International Journal of Wildland Fire 29, 11-27.
Liqun Diao, Research Assistant ProfessorYang, C., Diao, L. & Cook, R.. (2021). Survival Trees for Current Status Data. Proceedings of AAAI Spring Symposium on Survival Prediction - Algorithms, Challenges, and Applications 2021, in Proceedings of Machine Learning Research 146:83-94

Haoxin Zhuang, Liqun Diao, Grace Y. Yi, A Vine Copula Model for Climate Trend Analysis using Canadian Temperature Data, J. data sci. 19(2021), no. 1, 37-55, DOI 10.6339/21-JDS997
Lucy Gao, Assistant ProfessorLucy L. Gao, Jacob Bien, and Daniela Witten (2021+) Selective inference for hierarchical clustering.

Lucy L. Gao and Julie Zhou (2020). Minimax D-optimal designs for multivariate regression models with multi-factors. Journal of Statistical Planning and Inference, 209, 160-173.
Lan Wen, Assistant ProfessorWen, Lan & Hernán, Miguel & Robins, James. (2021). Multiply robust estimators of causal effects for survival outcomes. Scandinavian Journal of Statistics. 10.1111/sjos.12561.

Wen L, Terrera GM, Seaman SR. Methods for handling longitudinal outcome processes truncated by dropout and death. Biostatistics. 2018 Oct 1;19(4):407-425. doi: 10.1093/biostatistics/kxx045. Erratum in: Biostatistics. 2018 Oct 1;19(4):594. PMID: 29028922; PMCID: PMC5971107.
Yingli Qin, Associate ProfessorWu, Y.*, Qin, Y., and Zhu, M. (2020). High-dimensional covariance matrix estimation using a low- rank and diagonal decomposition. Canadian Journal of Statistics, 48(2), 308-337

Wu, Y.*, Qin, Y., and Zhu, M. (2019). Quadratic discriminant analysis for high-dimensional data. Statistica Sinica, 29, 939-960.
Fan Yang, Assistant ProfessorCui, H.; Tan, K.S.; Yang, F. (2021) Diversification in catastrophe insurance markets. ASTIN Bulletin: The Journal of the IAA, 51(3), 753–778.

Ji, L.; Tan, K.S.; Yang, F. (2021) Tail dependence and heavy tailedness in extreme risks. Insurance: Mathematics and Economics, 99, 282–293.
Leilei Zeng, Associate ProfessorZeng L, Cook RJ and Lee JY. "Multistate analysis from cross-sectional and auxiliary samples", Statistics in Medicine, 39(4) 387-408, 2020.

Iraniparast M, Shi Y, Wu Y, Zeng L, Maxwell C, Kryscio R, John P, SantaCruz K and Tyas S. “Cognitive reserve predicts transition from MCI to intact cognition vs progression to dementia”, Neurology, DOI: 10.1212/WNL.0000000000200051, Feb 4, 2022.
Name/TitleFeatured WorksCard
Camila P.E. de Souza, Assistant ProfessorP. E. de Souza, C., Andronescu, M., Masud, T., Kabeer, F., Biele, J., et al. (2020) Epiclomal: Probabilistic clustering of sparse single-cell DNA methylation data. PLOS Computational Biology 16(9): e1008270.

Randhawa, Gurjit S., Maximillian P.M. Soltysiak, Hadi El Roz, Camila P. E. de Souza, Kathleen A. Hill, and Lila Kari, (2020) Machine learning using intrinsic genomic signatures for rapid classification of novel pathogens: COVID-19 case study. PLOS ONE.
Kristina Sendova, Associate Professor and Chair, Statistical and Actuarial SciencesKristina P. Sendova & Leda D. Minkova (2020) Introducing the non-homogeneous compound-birth process, Stochastics, 92:5, 814-832, DOI: 10.1080/17442508.2019.1666132
Grace Yi, ProfessorG. Y. Yi , A. Delaigle, and P. Gustafson (2021). Handbook of Measurement Error Models. Chapman & Hall/CRC.

G. Y. Yi (2017). Statistical Analysis with Measurement Error or Misclassification: Strategy, Method and Application. Springer Science+Business Media LLC, New York.
Name/TitleFeatured WorksCard
Xu (Sunny) Wang, Associate ProfessorLonglong Feng*, Xu Wang (2021). Automate Obstructive Sleep Apnea Diagnosis Using Convolutional Neural Networks. AMMCS 2019: Recent Developments in Mathematical, Statistical and Computational Sciences. PROMS, Volume 342, Pages 521-531. Online, 30 August 2021.

Emily T. Winn*, Marilyn Vazquez, Prachi Loliencar, Kaisa Taipale, Xu Wang, and Giseon Heo (2021). A Survey of Statistical Learning Techniques as Applied to Inexpensive Pediatric Obstructive Sleep Apnea Data. The Women in Data Science 2019 Proceedings: Advances in Data Science. December 2021, Springer.
Name/TitleFeatured WorksCard
Yuejiao Cindy Fu, Associate ProfessorLiu, G., Fu, Y., Liu, W., and Mu, R. (2021). Testing homogeneity in contaminated mixture models. The Canadian Journal of Statistics.

Liu, G., Fu, Y., Zhang, J., Pu, X. and Wang, B. (2020). EM-test for homogeneity in a two-sample problem with a mixture structure, Journal of Applied Statistics, 47:4, 724-738.
Hanna Jankowski, ProfessorFadoua Balabdaoui. Cécile Durot. Hanna Jankowski. "Least squares estimation in the monotone single index model." Bernoulli 25 (4B) 3276 - 3310, Nov 2019.

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