Kelly Ramsay
Kelly Ramsay
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PhD. Statistics, MSc. Statistics, BSc. Statistics and Actuarial Science
Assistant Professor
York University
Toronto, Canada
The main goal of my research is to develop nonparametric and robust modelling tools for complex data. Some of the areas I have worked in are differential privacy, functional data, f-MRI and high-dimensional statistics. Much of my work strikes an even balance between theoretical backing, computability and simulations and real data applications. I am currently an Assistant Professor in the department of Mathematics and Statistics at York University in Toronto, Canada. I have a PhD. from the University of Waterloo in Canada which was supervised by Shoja Chenouri. In addition to research, l have 7+ years of statistical consulting experience in various areas, such as linear mixed models, web scraping, generalized linear models and more. For more information, you can contact me by email below.
Contact:
Email: kramsay2@yorku.ca
Google scholar: https://scholar.google.com/citations?user=qj9dfuIAAAAJ&hl=en
GitHub: https://github.com/12ramsake
LinkedIn: www.linkedin.com/in/kelly-ramsay-abc123
Education:
2018-2022 PhD. Statistics, University of Waterloo
2016-2018 MSc. Statistics, University of Manitoba
2012-2016 BSc.(Hons.) Statistics & Actuarial Science, University of Manitoba
Publications:
2025 An elementary concentration bound for Gibbs measures arising in statistical learning theory, Kelly Ramsay, Aukosh Jagannath and Shoja'eddin Chenouri, TMLR
2025 Improved subsample-and-aggregate via the private modified winsorized mean, Kelly Ramsay and Dylan Spicker, arXiv:2501.14095, under review
2024 Psychological distress among healthcare providers during the COVID-19 pandemic: patterns over time, Gutmanis et al., BMC Health Services Research
2024 Differentially private boxplots, Kelly Ramsay and Jairo Diaz-Rodriguez, arXiv:2405.20415, under review
2024 Robust changepoint detection in the variability of multivariate functional data, Kelly Ramsay and Shoja'eddin Chenouri, arXiv preprint arXiv:2112.01611, under revision at JNPS
2024 Differentially private projection-depth-based medians, Kelly Ramsay and Dylan Spicker, arXiv:2312.07792, under review
2024 Differentially private multivariate medians, Kelly Ramsay, Aukosh Jagannath and Shoja'eddin Chenouri, arXiv preprint arXiv:2210.06459, under review
2023 Robust nonparametric hypothesis tests for differences in the covariance structure of functional data, Kelly Ramsay and Shoja'eddin Chenouri, Canadian Journal of Statistics, 10.1002/cjs.11767
2023 Robust, multiple change-point detection for multivariate variability using data depth, Kelly Ramsay and Shoja'eddin Chenouri, 10.1016/j.ecosta.2023.09.001, Journal of Econometrics and Statistics
2021 Differentially private depth functions and their associated medians, Kelly Ramsay and Shoja'eddin Chenouri, arXiv preprint arXiv:2101.02800
2020 Robustness and asymptotics of the projection median, Kelly Ramsay, Stephane Durocher and Alexandre Leblanc, Journal of Multivariate Analysis, 10.1016/j.jmva.2020.104678
2019 Integrated rank-weighted depth, Kelly Ramsay, Stephane Durocher and Alexandre Leblanc, Journal of Multivariate Analysis, 10.1016/j.jmva.2019.02.001
Major Awards / Funding:
2023 NSERC Discovery Grant
2023 NSERC Launch Supplement
2019 Canada Graduate Scholarship-Doctoral, NSERC
2021 Sprott Scholarship, University of Waterloo
2016 Canada Graduate Scholarship-Masters, NSERC
2017 SSC Student Presentation Award, SSC
2019 Outstanding Research by an M.Sc. Student, University of Manitoba
Invited Talks:
2024 -- Changepoint Detection in the Variability of Multivariate and Functional Data, Kelly Ramsay and Shoja'eddin Chenouri ICORS 2024
2024 -- Differentially private projection depth-based medians, Kelly Ramsay and Dylan Spicker EcoSta 2024
2024 -- Differentially private projection depth-based medians, Kelly Ramsay and Dylan Spicker CANSSI research day 2024
2024 -- Nonparametric and Robust Inference for Covariance Operators, Kelly Ramsay and Shoja'eddin Chenouri McGill University Epidemiology Monday Seminar Series
2023 -- Differentially private projection depth-based medians, Kelly Ramsay and Dylan Spicker CMStat 2023
2022 -- The Privacy-Accuracy Trade-off for Multivariate Medians, Kelly Ramsay, Aukosh Jagannath and Shoja'eddin Chenouri, Field's Workshop on Differential Privacy 2022
2022 -- Medians, the Cost of Privacy & the Exponential Mechanism, Kelly Ramsay, Aukosh Jagannath and Shoja'eddin Chenouri ICORS 2022
2022 -- Medians, the Cost of Privacy and the Exponential Mechanism. Kelly Ramsay and Shoja'eddin Chenouri Lessons in Data Science and Economics Seminar Series
2022 -- Differential Privacy & Data Depth Functions, Kelly Ramsay and Shoja'eddin Chenouri University of Manitoba Seminar Series 2021
Contributed Talks:
2024 -- Changepoint Detection in the Variability of Multivariate and Functional Data, Kelly Ramsay and Shoja'eddin Chenouri SSC 2024
2023 -- FKWC tests for differences in the covariance structure of functional data, Kelly Ramsay and Shoja'eddin Chenouri SSC 2023
2023 -- FKWC tests for differences in the covariance structure of functional data, Kelly Ramsay and Shoja'eddin Chenouri ICORS 2023
2021 -- Privatizing Data Depth Functions, Kelly Ramsay and Shoja'eddin Chenouri SSC 2021
2019 -- Multivariate Change-point Detection: A Nonparametric Method for Multiple Change-point Detection in the Covariance Matrix of a Time Series, Kelly Ramsay and Shoja'eddin Chenouri WSAS 2019
2018 -- Some Results on the Projection Median, Kelly Ramsay, Stephane Durocher and Alexandre Leblanc SSC 2018
2017 -- Computing the Projection Median in R3, Kelly Ramsay, Stephane Durocher and Alexandre Leblanc SSC 2017
Contributed Posters:
2023 -- FKWC tests for differences in the covariance structure of functional data, Kelly Ramsay and Shoja'eddin Chenouri JSM 2023
2017 -- Classifying IBS Patients, Kelly Ramsay, Shamsia Sobhan, Inesh Prabuddha, and Kanika Grover SSC 2017
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