CRM EDI Committee
Galia Dafni
Galia Dafni is a Professor in the Department of Mathematics and Statistics at Concordia University, and Managing Editor of CRM publications. 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.
Maia Fraser
Maia Fraser is an Associate Professor at the University of Ottawa in the Department of Mathematics and Statistics, cross-appointed to the School of Electrical Engineering and Computer Science (EECS). Her primary area of research is machine learning theory, but she also engages in applied projects developing AI tools for Science or Math, and works occasionally in contact and symplectic geometry. Prior to her present position, she did a PhD in Computer Science (Chicago 2013) and postdoctoral work in Math and Computer Science at the University of Toronto (2013-15). Her earlier background includes a PhD in Mathematics (Stanford 1994), work in industry in high-performance computing in Switzerland, and time spent teaching in Mexico. She is passionate about ensuring a vibrant role for research Mathematics in society, especially with regards to artificial intelligence (AI) and new technologies. She is active not only in questions of AI safety, and the interaction of AI with various fields including Mathematics, but also developed the NSERC CREATE-funded interdisciplinary training program INTER-MATH-AI that trains a small and diverse cohort of students each year to combine mathematics and machine learning with awareness of ethical and societal implications of AI.
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
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).
Bouchra Nasri
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.
