2025 (Bio)Statistics Research Day

The Eighth Annual (Bio)Statistics Research and Career Day at McGill will be held in-person on:

Friday May 9th, 2025

Students are invited to give oral presentations about their recent or ongoing research projects in statistics-related fields.

Prizes will be awarded for the best presentations!

Free lunch and coffee will be provided!

Three keynote speakers will give presentations on various topics related to statistics!

A career panel with recent graduates and professionals in the field will be held to answer your career-related questions!

La Huitième journée annuelle de la recherche et des carrières en (Bio)Statistiques à McGill se tiendra en personne le:

Vendredi 9 Mai 2025

Les étudiants sont invités à faire des présentations orales sur leurs travaux récents ou en cours dans des domaines liés aux statistiques.

Des prix seront décernés pour les meilleures présentations!

Le dîner et le café seront fournis gratuitement!

Trois allocutions spéciales seront présentées sur divers domaines de statistiques!

Un panel des carrières composé de récents diplômés et de professionnels du domaine sera organisé pour répondre à vos questions liées à la carrière!

Locations - Lieux

Keynote lectures and student talks / Allocutions spéciales et présentations des étudiants

Thomson House's Ballroom (3650 McTavish, 3rd floor)

Career panel and mixer / Panel des carrières et mixer

Thomson House's Restaurant (3650 McTavish, 1st floor)

Schedule - Horaire

May 9th - 9 Mai 2025

08:00-08:40 Registration & coffee

08:40 - 09:00 Introduction

09:00 - 10:00 Stef van Buuren

10:00 - 10:15 Coffee Break

10:15 - 11:15 Janie Coulombe

11:15 - 11:25 Coffee Break

11:25 - 12:30 Student Talks Session 1

12:30 - 13:30 Lunch

13:30 - 15:00 Student Talks Session 2

15:00 - 15:15 Coffee Break

15:15 - 16:15 Alexandre Bouchard-Côté

16:30 - 18:00 Career Panel

18:00 - 19:30 Cocktail

Keynote Speakers Allocutions Spéciales

Prof. Alexandre Bouchard-Côté

Alexandre Bouchard-Côté's main field of research is in computational statistics/statistical machine learning. He is interested in the mathematical side of the subject as well as in applications in linguistics and biology.

On the methodology side, He is interested in Monte Carlo methods such as SMC and MCMC, graphical models, non-parametric Bayesian statistics, randomized algorithms, and variational inference.

His favorite applications, both in linguistics and biology, are related to phylogenetics in one way or another. Some examples of things he has currently/recently been working on: automated reconstruction of proto-languages; cancer phylogenetics; population genetics; pedigrees, tree and alignment inference.

In the past, Dr. Bouchard-Côté also did some work on machine translation, on logical characterization and approximation of labeled Markov processes, and on reinforcement learning.

Prof. Stef van Buuren

Stef van Buuren is Professor of Statistical Analysis of Incomplete Data at the University of Utrecht and Principal Scientist at the Netherlands Organisation for Applied Scientific Research TNO in Leiden. His interests include the analysis of incomplete data, child growth and development, computational statistics, measurement and individual causal effects.

Van Buuren is the inventor of the MICE algorithm for multiple imputation of missing data. He created the growth charts used in the Dutch child health care system, and designed the D-score, a new system for expressing child development on a quantitative scale. He consults for the World Health Organization and the Bill & Melinda Gates Foundation.

Prof. Janie Coulombe

Janie Coulombe is an Assistant Professor in the Department of Mathematics and Statistics at the Université de Montréal. She earned her Bachelor’s and Master’s degrees in Mathematics and Statistics, respectively, from the Université de Montréal, and completed her Ph.D. in Biostatistics at McGill University in 2021. Prior to joining Université de Montréal, she was a post-doctoral fellow at McGill University and a (virtual) visiting scholar at North Carolina State University. Professor Coulombe’s research lies at the intersection of biostatistics and causal inference, with a particular focus on developing advanced statistical methods for observational health data. She aims to address challenges inherent in electronic health records and longitudinal cohort studies—such as irregular observation times, missing data, and treatment-confounder bias—by creating robust and efficient causal estimators. Professor Coulombe won the Banting-CANSSI Discovery Award in 2024 and the Award for excellence in teaching Biostatistics in 2022.

Career Panelists Professionnels invités

Xiaonan Da

Xiaonan studied Math and Philosophy during her undergraduate years, before pursuing a Master’s in Statistics at McGill University. After completing her studies, she began her career as a methodologist at Statistics Canada. In her current role, she is involved in a variety of projects, with a particular focus on text classification for the Canadian Census. Outside of work, she is passionate about cooking and loves exploring new foods. She also enjoys playing the piano and card games.

Léo Belzile

Léo Belzile is an applied statistician and an associate professor in the Department of Decision Sciences at HEC Montréal working in the field of extreme value modelling, which deals with the study of rare events. He completed a bachelors and a masters, both in statistics, at McGill University, and holds a PhD from EPFL. He currently serves as president of the SSC Statistical Education section.

Gabrielle Simoneau

Dr. Gabrielle Simoneau obtained her PhD in biostatistics from EBOH in 2019, with a thesis on statistical methods for dynamic treatment regimes applied to rheumatoid arthritis and type 2 diabetes. While completing her PhD, she worked as a biostatistician at the Montreal Neurological Institute. In 2020, she joined Biogen, working in a small group focused on advanced analytics and innovation in real-world evidence generation and digital medicine. After a brief period at Merck, she chose to take a sabbatical year, prioritizing flexibility and independent pursuits.

Armando Turchetta

Armando Turchetta is a Senior Statistician at AstraZeneca in the Greater Toronto Area, where he provides statistical support for late-phase clinical trials in the respiratory disease area. Previously, Armando worked at Roche, initially starting as a summer intern during his doctoral studies. He earned his PhD in Biostatistics from McGill University under the supervision of Drs. Erica Moodie and David Stephens, focusing on Bayesian methodologies for clinical studies. He loves cats

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