Rosalie Bélanger-Rioux is a faculty lecturer in the Department of Mathematics and Statistics at McGill University. She teaches there, and participates in various efforts to better support students: student life, diversity and inclusion, pedagogy, etc. Prior to that, Rosalie was in a similar position at Harvard University in the United States. She received her bachelor’s degree in applied mathematics from McGill University, and her doctorate in applied mathematics from the Massachusetts Institute of Technology.
I am a Full Professor in the Department of Mathematics and Statistics at McGill University. I view myself as an applied mathematician, and broadly speaking, my research lies in the study and application of variational problems. I was born into the Parsi community in India. My family and I emigrated to Canada when I was two years of age. Growing up, I discovered that my sexual orientation and outward appearance were sometimes at odds with the society I grew up in, and I experienced the difficulties and isolation felt by many minorities in Canada, both personally and professionally. While the Canada of today is far more enlightened than it was during my formative years, there is still much work to be done in making the mathematical sciences more open and welcoming to all. We must remain vigilant and safeguard the advances we have made for future generations of students, researchers, and academics.
Galia Dafni is a Professor in the Department of Mathematics and Statistics at Concordia University, and Deputy Director of the CRM – Publications and Communication. She received her PhD from Princeton University in 1993, and held postdoctoral positions at the University of California, Berkeley, and Northwestern University, before coming to Montreal in 1998. Her research is in the area harmonic analysis and function spaces. She has extensive experience as a mentor of young mathematicians at the undergraduate, graduate and postdoctoral level, and has served as both Undergraduate Program Director and Graduate Program Director of her department, as well as on the Women in Mathematics Committee, the Board of Directors, and the Publications Committee of the Canadian Mathematical Society.
Joshua Flynn received his PhD from the University of Connecticut in 2022 and is currently (2022-2024) a CRM-ISM postdoctoral fellow registered at McGill University. His current research projects include problems in harmonic analysis, geometric flows, nonlinear partial differential equations and sharp geometric inequalities.
Alexandra Haedrich (Chair)
Alexandra Haedrich is the administrative director of the Institut des sciences mathématiques. In her spare time, she has been a human rights activist for many years and as such believes deeply in the importance of building a more diverse, equitable and inclusive society, and ensuring that those who have not had a voice be heard.
Javad Mashreghi is a mathematician and author working in function space theory, functional analysis, and harmonic analysis. He is a professor at Laval University and was the 35th President of the Canadian Mathematical Society (2020–2022). Javad is immensely involved in various aspects of the mathematical community, having served on numerous editorial, administrative and selection committees. He is currently the editor-in-chief of the Canadian Mathematical Bulletin (2020–2025) and Concrete Operators (2018–2024), and an Associate Editor of the Proceedings of the American Mathematical Society (2020-2024). He received the IEEE Prize Paper Award (2021), the Khwarizmi International Award, a research prize of IROST (2009) which he declined, and the G. de B. Robinson Award of the Canadian Mathematical Society (2004).
Professor Nasri is a biostatistics faculty member of the Département de médecine sociale et préventive of Université de Montréal. Professor Nasri is an FRQS Junior 1 Scholar in Artificial Intelligence in Health and Digital Health. She holds an NSERC Discovery Grant in Statistics for time series dependence modelling for complex data. Professor Nasri and her team are working mainly on developing statistical learning methods, artificial intelligence methods and mathematical models for infectious diseases and public health threats related to climate change. Professor Nasri completed a PhD and a MSc at INRS-ETE on developing Statistical approaches for extremes related to Climate change and an Ingénieur d’État degree (eq. MSc) in Statistics at INSEA. She also completed a postdoctoral fellowship in theoretical statistics at McGill and HEC Montréal funded by the FRQNT, CANSSI and GERAD. She authored and co-authored several papers on time series, spatial dependence, multivariate statistics, compartmental modelling, text mining, and evidence synthesis.