Amy Mann
I am an MSc student in Statistics at Oxford and a Rhodes Scholar. I graduated from the University of Toronto with a joint Bachelor's in Mathematics and Statistics as a National Scholar. I am currently a research assistant for Monica Alexander in the Statistics Department. I previously worked in Prof. Jude Kong's AIMM Lab, Kent Moore's Lab as a Laidlaw Scholar, and the Wunch Group as a Summer Undergraduate Research Fellow. I was a 2023 Fields Undergraduate Summer Research Fellow where I worked on random walks and Kemney's constant.
I was originally a physics major prior to switching into math. My research now lies at the intersection of statistics and social science. I was the President of the University of Toronto Mathematics Union and I started a community garden at Victoria College. I am from Winnipeg, Manitoba.
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US mortality data quality index
Amy Mann, Monica Alexander, Mathew Kiang
, 2025
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Created a composite data quality index to assessing the geographic and temporal trends in United States mortality data from 1999-2022.
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Temperature dependent model of malaria transmission
Amy Mann, Qing Han, Sarafa Iyaniwura, Jude Kong
, 2025
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Created a temperature dependent model of malaria transmission
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Threshold graphs, Kemeny's constant, and related random walk parameters
Jane Breen, Sooyeong Kim, Alexander Low Fung, Amy Mann, Andrei Parfeni, Giovanni Tedesco
Linear Algebra and Its Applications, 2025
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Kemeny’s constant measures how fast a random walker moves around in a graph. We look at the behaviour of Kemney’s on threshold graphs. We establish explicit formulae for K(G) in terms of the construction code of a threshold graph, and completely determine the ordering of the accessibility indices of vertices in threshold graphs. I specifically focused on combinatorial approaches and proved some of the results in section 4.
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The trajectory of sea ice in the Last Ice Area
Amy Mann, Kent Moore
Laidlaw Research Conference, 2023
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Simulated back trajectories and forward trajectories of sea ice in the Last Ice Area using satellite velocity data with a particular interest in understanding the cause of the anomolous sea ice reversal in February 2018. I received funding from the Laidlaw Research Fellowship. In process of turning into paper.
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A Modified Gaussian Plume Model for Mobile in situ Greenhouse Gas Measurements
Lawson D. Gillespie, Sébastien Ars, James P. Williams, Louise Klotz, Tianjie Feng, Stephanie Gu,Mishaal Kandapath, Amy Mann, Michael Raczkowski, Mary Kang, Felix Vogel, Debra Wunch
Atmospheric Measurement Techniques, 2023
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Stephanie Gu, Mishaal Kandapath, and I helped with data collection. Received the Summer Undegraduate Research Fellowship.
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Calibrated and deployed low-cost air quality sensors in the GTA
Amy Mann, Stephanie Gu, Debra Wunch
Univeristy of Toronto Undegraduate Physics Research Symposium, 2022
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Calibrated and deployed low-cost emissions sensors in the GTA under the supervision of Debra Wunch with Stephanie Gu.
Received the Summer Undegraduate Research Fellowship.
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Loss of Cold Weather in the Canadian Arctic
Danny Blair, Amy Mann, Safia Soussi, Hallah Manni, Matthew Loxley
Atmosphere Ocean, 2021
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Looked at the decline of cold days in the Arctic and its local effects
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Other Projects
These include coursework, side projects and unpublished research work.
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Identifying Autism for Brain Connectivity Patterns
UofT STA437: Methods for Multivariate Data
2025-04-08
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We examined brain connectivity patterns in 47 individuals with autism. The dataset contains brain activity recordings from 47 individuals who participated in a study at Yale University. The data come from functional MRI (fMRI) scans, which measure brain activity over time. Each subject has a matrix (196 × 110) representing their brain activity.
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Teaching
Introduction to Ordinary Differential Equations (MAT244), Teaching Assistant, University of Toronto (Spring 2025)
Linear Algebra I (MAT223), Teaching Assistant, University of Toronto (Fall 2024)
I volunteered with the Pursue STEM Program in 2023 and 2024, teaching underpriveleged high school students in the Greater Toronto Area math and providing mentorship.
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Miscellanea
I love math and continue to enjoy thinking about random walks and other combinatorial problems in my free time. Outside of my research, I am interested in history. I took a seminar class on the history of medicine and my paper was selected to be published in Synthesis: Undergraduate Journal of History of Science. You can also read it here. On the side, I also wrote a scoping review of association guidelines recommending lifestyle interventions with guidance from Natalie Riediger which I continue to think is interesting.
Books I really love
2025: Eden's Outcasts, Say Nothing, We Don't Know Ourselves, America, América, The Pope and Mussolini
2024: Far From the Tree, Mountains beyond Mountains, Amusing Ourselves to Death, The Man Without a Face, The Gnostic Gospels
2023: Prairie Fires, Empire of Pain, The Future is History
I enjoy reviewing books and I recently got a Goodreads account.
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