Congratulations to Rachel Lobay on being awarded a 2025 Graduate Teaching Award!
Rachel is currently a PhD Student in the department of Statistics. In addition to this award, she is the recipient of a Killam Graduate Teaching Assistant Award (2025 - 2026) and a Rick White Award (2024 - 2025).
The Graduate Teaching Award recognizes Rachel's commitment to teaching and the positive impact she has had on students.
Congratulations to PhD student Gian Carlo Diluvi on receiving a 2025 Graduate Teaching Assistant Award.
Gian Carlo is currently pursuing his PhD in Statistics at UBC, having previously completed his MSc in Statistics at UBC in 2021.
Since joining the department in 2019, he has contributed extensively as a teaching assistant, and from 2021 to 2024 he has also served as a teaching assistant trainer.
This award recognizes Gian Carlo’s outstanding commitment to teaching and his meaningful impact on student learning.
Congratulations to UBC Statistics PhD student Rachel Lobay on receiving the 2025–2026 Killam Graduate Teaching Assistant Award!
This award highlights the outstanding impact that graduate teaching assistants have on teaching and learning at UBC. Each year, up to nineteen graduate teaching assistants are selected for this honour — this year, Rachel is one of them.
Please join us in celebrating Rachel for this truly well‑earned achievement!
Congratulations to Nikola Surjanovic on being awarded the 2025-2026 Marshall Prize.
Nikola is in his final year at UBC and will be graduating with a PhD in Statistics under the supervision of Dr. Alexandre Bouchard-Côté and Dr. Trevor Campbell. While completing his PhD, Nikola has taken on the role of Applied Scientist II (ML/AI) at Amazon, working on the supply chain optimization Technologies team.
Among his many achievements, Nikola was a core contributor and founding member of the Pigeons software project, which offers assistance with sampling and integration problems. He was also a co-chair and founding member of the Student Committee of the Western North American Region of the International Biometric Society. His academic excellence has been recognized through several distinctions, including the Alexander Graham Bell Canada Graduate Scholarship (Master’s level) from NSERC and the Governor General’s Silver Medal.
The Marshall Prize honours Professor Albert Marshall for his seminal work in the theory of statistical reliability and for his contributions to the development of statistics at UBC. The prize is awarded to an outstanding M.Sc. or Ph.D. student in the Department of Statistics who has demonstrated excellence in the discipline of statistics as demonstrated by strength in the development and application of statistical methodology.
The Department of Statistics at UBC is pleased to announce that Margarita Kapustina has been selected as the recipient of the 2025–2026 Department of Statistics Award in Data Science.
Kapustina is a PhD candidate in Neuroscience in the Cembrowski Lab at UBC, where her work sits at the intersection of neuroscience and data science. Her research focuses on developing open‑source analytical tools that enable scientists to extract meaningful insights from large‑scale biological datasets.
“This award highlights how developing open‑source analytical tools can transform large-scale biological datasets into meaningful discoveries about the brain's cellular organization and function,” Kapustina said. “These discoveries provide the framework to advance our understanding of neurological diseases and identify novel therapeutic targets.”
Her supervisor, Dr. Mark Cembrowski, praised her contributions and impact: “Margo is a rising star in both data science and computational neuroscience. In just a few years as a graduate student, she has developed a variety of open-source tools enabling analysis of complex transcriptional datasets, which have had broad uptake in the scientific community. She has also applied these tools in a variety of settings to reveal new—and previously unforeseen—rules of how the brain is organized into cell types.”
The Department of Statistics Award in Data Science recognizes students who demonstrate initiative, creativity, and excellence in applying data-driven methods to meaningful questions. The annual $1,000 award is open to undergraduate and graduate students from any program at UBC Vancouver who have made outstanding contributions to the field of data science.
The Department extends its warmest congratulations to Margarita Kapustina on this well‑deserved achievement.
Dr. Marie Auger-Méthé is the recipient of one of six UBC Killam Accelerator Research Fellowships which are provided annually from the Killam endowment established through a bequest from the late Dorothy J. Killam. The Killam Accelerator Research Fellowships (KARF) are designed to empower early‑career scholars who have already demonstrated notable impact in their fields and are poised to advance to the next stage of their research careers, providing research funding and valuable time to devote to their work.
Dr. Auger-Méthé is an Associate Professor in the Department of Statistics at the University of British Columbia, jointly appointed with the Institute for the Oceans and Fisheries (IOF). She also holds a Tier II Canada Research Chair in Statistical Ecology and is a leading figure in the investigation of animal movement. Dr. Auger-Méthé is internationally known for developing data analysis tools used by research ecologists to better understand animal behaviour and by government agencies to guide concrete management decisions, and she has collaborated with Indigenous hunters to meaningfully integrate Indigenous knowledge into statistical analysis. Her research output includes papers in ecological and statistics journals, and accompanying R packages. Her publication record—over 60 peer-reviewed papers as an associate professor—is exceptional and more typical of a full professor in the discipline.
Dr. Auger-Méthé has developed state space and hierarchical models to better capture the complexity of animal movement, yet still maintain interpretability. Her highly cited first-authored 2021 Ecological Monographs paper showcases her expertise in applications of state-space modelling to ecological time series and her ability to communicate complex technical information to ecologists. Her contributions to Hidden Markov Models include accounting for the fine-scale dependence and multiscale structure associated with high-frequency data, providing accurate classification with sparse labels, speeding up fitting algorithms, and automatically selecting the number of hidden states. In a series of papers, she has incorporated Indigenous knowledge into statistical analyses to understand seal behaviour and habitat use. She has also used citizen science from whale-watching, accounting for the spatially-biased search effort present in such opportunistic datasets.
This fellowship will allow Dr. Auger- Méthé to develop data-based methods and resources to guide decisions to identify critical habitat. The work will build on her research in hierarchical models and in combining different forms of data, including citizen science data and Indigenous Knowledge. Through this work, she will create easy-to-use tools that identify Critical Habitats quickly and accurately and which will facilitate the protection of such habitats via governmental policies (e.g., recovery strategies and marine protected areas). She will also create an open-access repository of Critical Habitat information that can be used by NGOs, First Nations, and other groups when advocating for the protection of imperilled species. Such work is urgently needed to address biodiversity loss and generate systematic ways of meeting Canada’s conservation goals. To demonstrate the usefulness of these tools, she will apply them to marine mammals and seabirds data in areas with increasing shipping and energy developments.
The UBC Department of Statistics congratulates Kevin Lin, Director of Finance, HR, and Operations, on being awarded a 2025 Faculty of Science Excellence in Service Award.
This award recognizes staff and faculty who have made exceptional contributions beyond their regular responsibilities, advancing the mission and strategic goals of UBC Science through their dedication, service, and impact.
Kevin has been recognized for his "service and leadership infused with creativity, diligence, empathy, humility, integrity, and intelligence".
The Department of Statistics is soliciting nominations for the Department of Statistics Award in Data Science, an award to recognize the importance of developing and applying tools to answer important questions through the analysis of data.
This $1,000 award is offered to an undergraduate or graduate student who has demonstrated initiative and creativity in making outstanding contributions in the field of Data Science. The award is made on the recommendation of the Department of Statistics Awards Committee and, in the case of a graduate student, in consultation with the Faculty of Graduate and Postdoctoral Studies.
The nominee must be an undergraduate or graduate student enrolled at UBC Vancouver during the 2025-26 Winter session or must have graduated in November 2025. The nominator must be a faculty member or someone in a suitable supervisory position, such as a co-op supervisor or research supervisor. Student self-nominations will not be accepted.
The nominator is to submit the following material as a PDF toea@stat.ubc.ca, with subject line Data Science Award Nominationby Tuesday, February 17, 2026:
A description written by the student of their achievements related to Data Science (not to exceed 1 page, minimum 12 point font);
A student resume/curriculum vitae; and
A supporting letter from the nominator (not to exceed 1 page, minimum 12 point font).
While the Committee will consider high grades in relevant courses, the Committee will look beyond grades to more substantial achievements related to Data Science. Some examples of achievements are:
Creative and impactful data analysis via visualization techniques;
Development of software to implement an innovative statistical approach; and
Improvement of the computational aspects of a data analysis approach.
Such activities might have been as a course project or thesis, an end-product of a relevant co-op experience, or participation in an online Data Science competition, such as Kaggle.
Congratulations to Xiaoting Li, who has been awarded the Lorraine Schwartz Prize for the 2024-25 academic year. The award is given annually by the Department of Mathematics and the Department of Statistics for distinctions in the fields of statistics and probability.
Xiaoting recently defended her Ph.D. thesis in Statistics, supervised by Professor Harry Joe. Her thesis work on multivariate tail inference and extremes, plus other research during her Master's at McGill led to publications in the journals Entropy, Journal of Multivariate Analysis, Computational Statistics and Data Analysis, Environmetrics, and Journal of the American Statistical Association. Her important applications of statistics and probability have included systemic risk for financial institutions, extreme flood insurance losses, and other areas. Xiaoting also had valuable roles at UBC as instructor of a course and in service roles. She is now an Assistant Professor in the Department of Statistics, University of Manitoba.
The prize was established in 1966 in memory of Dr. Lorraine Schwartz, Assistant Professor in the Department of Mathematics from 1960-1965, by her friends and colleagues. Dr. Schwartz received her PhD from the University of California, Berkeley, in 1960, working with Professor Lucien Le Cam, with a thesis entitled "Consistency of Bayes' Procedures". She then took a position at UBC where she remained until her untimely death. However even in her brief career, she made seminal contributions to her field in published research papers that are still cited today.
