Kelly Ramsay
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. I am currently an Assistant Professor in the department of Mathematics and Statistics at York University. I have a PhD. from the University of Waterloo in Canada under Shoja Chenouri. Much of my work strikes an even balance between theoretical backing, computability and simulations and real data applications. Much of my published research has theoretical leanings, however, I worked as a statistical consultant at the University of Waterloo for several years, and was also a technical analyst for Bison transport, where I have worked on many applied problems. I have also worked on several R packages and participated in large scale webscraping projects.
Contact:
Email: kramsay2@yorku.ca
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:
2022 Concentration of the exponential mechanism and differentially private multivariate medians, Kelly Ramsay, Aukosh Jagannath and Shoja'eddin Chenouri, arXiv preprint arXiv:2210.06459
2021 Change-point detection in the covariance kernel of functional data using data depth, Kelly Ramsay and Shoja'eddin Chenouri, arXiv preprint arXiv:2112.01611
2021 Differentially private depth functions and their associated medians, Kelly Ramsay and Shoja'eddin Chenouri, arXiv preprint arXiv:2101.02800
2021 Robust nonparametric hypothesis tests for differences in the covariance structure of functional data, Kelly Ramsay and Shoja'eddin Chenouri, CJS
2020 Robust, multiple change-point detection for multivariate variability using data depth, Kelly Ramsay and Shoja'eddin Chenouri, arXiv preprint arXiv:2011.09558, submitted to Journal of Econometrics and Statistics
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:
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
Conference Participation:
2022 Presentation: The Privacy-Accuracy Trade-off for Multivariate Medians, Kelly Ramsay, Aukosh Jagannath and Shoja'eddin Chenouri Field's Workshop on Differential Privacy 2022
2022 Presentation: Medians, the Cost of Privacy & the Exponential Mechanism, Kelly Ramsay, Aukosh Jagannath and Shoja'eddin Chenouri ICORS 2022
2021 Presentation: Privatizing Data Depth Functions, Kelly Ramsay and Shoja'eddin Chenouri SSC 2021
2019 Presentation: Multivariate Change-point Detection: A Nonparamteric Method for Multiple Change-point Detection in the Covariance Matrix of a Time Series, Kelly Ramsay and Shoja'eddin Chenouri WSAS 2019
2018 Presentation: Some Results on the Projection Median, Kelly Ramsay, Stephane Durocher and Alexandre Leblanc SSC 2018
2017 Presentation: Computing the Projection Median in R3, Kelly Ramsay, Stephane Durocher and Alexandre Leblanc SSC 2017
2017 Case Study Poster: Classifying IBS Patients, Kelly Ramsay, Shamsia Sobhan, Inesh Prabuddha, and Kanika Grover SSC 2017