Julien Arino is a Professor in the Department of Mathematics at the University of Manitoba , specializing in Mathematical Epidemiology and Mathematical Population Dynamics . He is an active member of the Mathematical Biology group and focuses on the role of movement in disease transmission, with applications to both human and animal health. Department of Mathematics Faculty of Science University of Manitoba His research spans: Metapopulation dynamics with explicit movement Multi-pathogen and multi-species transmission modeling Computational epidemiology with data science integration Evaluation of travel control measures for disease variants Recent work includes publications on: Cholera transmission in Chad Multi-species bovine tuberculosis dynamics Measles resurgence patterns Software tools for R compilation and data visualization He maintains a public YouTube channel with lecture videos on Mathematical Epidemiology and contributes open-source code for scientific computing in R and Python. His methodological contributions include novel approaches to plot formatting and computational efficiency in epidemic modeling.
Yoshua Bengio is a Full Professor at Université de Montréal, Canada CIFAR AI Chair (2018–present), and founder of Mila – Quebec AI Institute. He co-directs the CIFAR Learning in Machines & Brains program and serves as Scientific Director of IVADO. A Fellow of the Royal Society of London and Canada, and Officer of the Order of Canada, Bengio is a pioneer in deep learning and co-recipient of the 2018 A.M. Turing Award. His research spans Deep learning architectures Neural networks Machine learning theory Generative models Optimization algorithms Recent work focuses on generative adversarial networks, neural machine translation, and theoretical foundations of deep learning. Awards include the Killam Prize (2019), IEEE Neural Networks Pioneer Award (2019), and global recognition as the second-most cited computer scientist (2021).
Xin Tang is an Assistant Professor at the Michael Smith Laboratories and the Department of Computer Science in the Faculty of Science at the University of British Columbia. He leads the Tang Lab, which focuses on developing AI models to advance biological understanding at multiple scales and modalities. PhD in Engineering Sciences from Harvard University and the Broad Institute of MIT and Harvard Xin Tang's research spans computational cell biology, brain-computer interfaces, and in silico cellular digital twins. His work integrates explainable and interpretable AI with biological systems to address fundamental questions from molecular interactions to animal behaviors. Key areas include computational omics, multi-modality cell biology, spatio-temporal gene regulation, neuroengineering, and biological large language models. His lab develops autonomous AI approaches that serve as digital twins for biological systems, enabling in silico experiments that guide wet lab research. Analysis of Tang's recent publications reveals a strong focus on bridging AI and biology across multiple scales. His work spans from molecular and cellular levels (single-cell biology, multi-omics, spatial transcriptomics) to neural systems (brain-computer interfaces, neural activity tracking) and organ-level applications (cardiac interfaces). A consistent theme is the development of explainable and interpretable AI methods that provide mechanistic insights rather than just predictive power. His research has significant implications for understanding development, aging, and diseases like neurodegeneration. NSERC Discovery Grant (2025) Resource Allocation Competition of Digital Research Alliance of Canada (2025) Professor Tang actively supervises multiple graduate students, postdoctoral fellows, and undergraduate researchers across UBC's Computer Science, Bioinformatics, and Genome Science and Technology programs. His lab has received significant research funding including an NSERC Discovery Grant. He is committed to interdisciplinary collaboration and has established research partnerships with biologists, engineers, and clinicians to address complex biological questions related to neurodegenerative diseases, heart disease, and aging. The Tang Lab, located in the Michael Smith Laboratories at UBC, fosters a collaborative environment for researchers interested in AI for biology. The lab actively recruits dry-lab researchers with strong coding and machine learning backgrounds to work on projects spanning computational biology, neuro-inspired AI, explainable AI, biological LLMs, computational omics, and brain-computer interfaces. The lab has a remote work policy that allows flexible arrangements while maintaining strong collaborative ties.
Tony Leroux is a Full Professor at the School of Speech-Language Pathology and Audiology , University of Montreal. His research focuses on industrial and environmental noise effects on hearing, ototoxicity of chemicals, and hearing assessment tools. Education: Doctorate in Psychology, Carleton University (Canada) Master's in Biomedical Sciences (Audiology), University of Montreal (Canada) His work includes longitudinal studies on construction noise annoyance , validation of hearing assessment protocols , and interdisciplinary research on sensory integration in aging populations . Articles highlight collaborations on noise mitigation strategies, auditory processing disorders, and noise-induced hearing loss in occupational settings. He has contributed to landmark studies on the links between hearing aids and postural control, as well as environmental noise policy frameworks. Current projects involve acoustic monitoring in healthcare environments and training programs for auditory processing disorders .
Chantal Mayer-Crittenden serves as Associate Professor in Laurentian University's School of Speech-Language Pathology, where she teaches Speech Sciences, Voice Disorders, and Dysphagia in both undergraduate and graduate speech-language pathology programs. Her clinical expertise spans bilingualism, primary language impairments, and dysphagia, with extensive experience serving francophone populations in Northern Ontario's minority-language context. Her educational background includes: B.A. in Psychology and Linguistics from Laurentian University M.Sc.S. in Speech-Language Pathology from University of Ottawa Ph.D. in Human Studies (Communication and Cognition) from Laurentian University (2013) Dr. Mayer-Crittenden's research bridges cognitive science and clinical practice, focusing on bilingual language development in minority contexts, diagnostic differentiation between language impairment and typical second-language acquisition, and non-linguistic cognitive interventions. She actively develops assessment tools for francophone children in English-dominant environments and investigates cross-linguistic influences on language acquisition. Her interdisciplinary approach integrates perspectives from psychology, education, and audiology to address complex communication disorders. Her publication record shows consistent output from 2013-2016 with thematic evolution from foundational bilingualism studies toward specialized assessment tools and intervention protocols. Early work established theoretical frameworks for interdisciplinary practice, while recent publications focus on practical applications including nonword repetition tasks, navigational-cognitive assessments, and morphosyntactic norm development for minority-language children. Research recognition includes: CNFS funding as primary investigator (2012-2013) CNFS co-researcher roles (2011-2013, 2013-2014) She leads active research projects including a twin study on cognitive-linguistic intervention efficacy and francophone morphosyntactic norm development, supported by CNFS grants. Her collaborative approach involves interdisciplinary teams across healthcare and education sectors, with strong community engagement in Northern Ontario francophone communities. Current supervision focuses on graduate students in speech-language pathology programs, particularly those researching bilingual assessment and intervention. Though no formal lab name is specified, her research group conducts studies on bilingual language development, cognitive assessment tools, and minority-language intervention protocols, with particular emphasis on French-English contexts in Ontario's minority settings.
Felipe Gohring de Magalhaes is an Assistant Professor in the Department of Computer Engineering and Software Engineering at Polytechnique Montréal, where he has been working since July 2018 and assumed his current position in October 2024. He holds a dual doctorate from PUC-RS (Brazil) and Polytechnique Montréal (2016), with degrees in both computer science and computer engineering. His research spans embedded system architectures, real-time systems, avionics, and cybersecurity for emerging technologies. He is affiliated with the Microelectronics and Microsystems Research Group and the Multidisciplinary Institute for Cybersecurity and Cyber Resilience, reflecting his focus on integrated circuits, microelectronics, and system security. Professor Gohring de Magalhaes has published over 40 articles in international journals and conferences, with recent work focusing on photonic integrated circuits security, optical neural networks, and post-quantum cryptography for avionic systems. His publication trend shows consistent output with increasing focus on security aspects of emerging computing technologies. He has supervised at least one PhD student to completion and teaches courses including Introduction to Programming and Operating System Kernel. His research interests align with NSERC topics in integrated circuits, microelectronics, computer systems organization, and VLSI systems.
Alexandre Cavalcante is an Assistant Professor in the Department of Curriculum, Teaching and Learning at the University of Toronto's Ontario Institute for Studies in Education (OISE). His research program examines numeracy education through lenses of financial literacy, citizenship, and equity, with projects funded by SSHRC, Mitacs, and the Connaught Fund. He directs The Mathematizen Lab, which develops innovative pedagogical tools for diverse learners. His educational background includes a Ph.D. in Educational Studies from McGill University, an M.A. in Social and Human Sciences, and multiple bachelor's degrees (Engineering, Education, Science) from Universidade Federal do ABC, Brazil. Fluent in French, Portuguese, English, and Korean, he has taught mathematics in Brazil and Canada. Research Focus: Cavalcante investigates how numeracy education responds to societal transitions, emphasizing financial literacy, STEM integration, and culturally relevant pedagogies. His work addresses inequities in curricula and leverages digital technologies for inclusive learning. Publications: His recent articles analyze financial numeracy in textbooks, teacher knowledge of interest calculations, multilingual STEM tools, and crisis-era mathematics pedagogy. Trends highlight cross-national curriculum comparisons, technology-enhanced reasoning, and equity-driven frameworks. Grants & Projects: SSHRC: Enhancing algebraic thinking in primary grades (2023–2026) Mitacs: Informal entrepreneurship education via online platforms (2023–2025) SSHRC: Financial numeracy in Ontario mathematics (2022–2024) Connaught Fund: Epistemologies of simple/compound interest (2021–2024) Lab & Outreach: The Mathematizen Lab explores digital numeracy and multilingual resources. Cavalcante collaborates with schools to adapt curricula for urban settings and underrepresented youth.
François-Raymond Boyer is an Associate Professor in the Department of Computer Engineering and Software Engineering at Polytechnique Montréal. He holds a B.Sc. and Ph.D. from Université de Montréal and teaches courses in programming and digital audio. His research spans: Computer architecture and VLSI systems Network processing and traffic management Digital audio signal processing Hardware acceleration and optimization He is affiliated with ReSMiQ (Strategic Cluster for Microsystems) and OICRM (Music Research Observatory). Recent publications focus on 5G network processing, modular programming frameworks, and high-speed traffic management architectures, primarily in IEEE Access and IEEE Transactions on VLSI Systems. Professor Boyer has supervised 3 PhD and 6 Master's students, with research topics including network architecture, audio processing, and hardware design. No scientific awards are mentioned in the available records.
Dr. Isabelle Préfontaine is an Assistant Professor in the Department of Foundations and Practices in Education at Université Laval's Faculty of Education. Her academic journey includes a Postdoctoral Fellowship in Sociology at the University of Quebec at Montreal (2023) focused on social inclusion of autistic individuals, a PhD in Psychoeducation from the University of Montreal (2022) examining differential effectiveness of autism interventions, and a Master's in Psychoeducation (2017) validating technology-assisted behavioral tools. Research Focus Her research program centers on neurodevelopmental disorders with emphasis on: Early behavioral intervention efficacy School transition support systems Social inclusion mechanisms Technology-assisted therapies Longitudinal outcomes analysis She leads a significant FRQSC-funded project (2024-2027) investigating school exclusion pathways for neurodiverse students. Publication Trends Her 15 most recent publications demonstrate consistent focus on autism intervention research, featuring longitudinal methodologies, machine learning applications for treatment personalization, mobile health solutions for behavior management, and socio-educational inclusion frameworks. Recent works show increased emphasis on community implementation and predictive modeling. Teaching & Supervision She teaches undergraduate psychoeducation courses including: PSE-1012: Psychoeducational observation PSE-2101: Intervention in Intellectual Disability PSE-2103: Intervention with ASD PSE-3001: Psychoeducational Intervention Planning
Dr. Marilou Côté serves as an Assistant Professor in the Department of Foundations and Practices in Education within the Faculty of Education at Université Laval. She maintains dual research affiliations as a regular researcher at both the NUTRISS Centre and the Centre of Expertise on Weight, Image and Nutrition (CEPIA) at the Institute of Nutrition and Functional Foods, while also being a regular member of the Cardiometabolic Health, Diabetes and Obesity Research Network (CMDO). Postdoctoral Fellowship in Kinesiology, Concordia University (2024) Doctorate in Psychology (Ph.D.) Research and Intervention (Clinical Orientation), Laval University (2017) Bachelor of Psychology, Laval University (2010) Dr. Côté's research program centers on weight-related stigma, body image, eating disorders, and obesity, with particular emphasis on how weight stigma manifests in romantic relationships and its psychological consequences. Her work integrates clinical psychology perspectives with academic research, examining both individual and relational factors affecting eating behaviors. She employs diverse methodologies including longitudinal analyses, dyadic assessments, and validation studies of psychological instruments. Analysis of Dr. Côté's recent publications (2024-2018) reveals consistent focus on weight stigma mechanisms across populations (adolescents, athletes, general public), body image in romantic relationships, and eating disorder etiology. Her work increasingly incorporates longitudinal designs and cross-cultural perspectives, with recent publications addressing muscle dysmorphia, post-bariatric surgery outcomes, and weight bias in specific populations like figure skaters. Active SSHRC-funded International Weight Bias Summit project (2024) Ongoing research through NUTRISS Centre and CEPIA affiliations Dr. Côté currently supervises graduate students in psychoeducation (Master's with thesis and Doctoral programs) at Université Laval. Her research program benefits from institutional support through multiple research networks and recent grant funding. She regularly presents findings at national and international conferences including the Canadian Obesity Summit and International Conference on Eating Disorders. Her research activities are supported through affiliations with the NUTRISS Centre and CEPIA at Université Laval's Institute of Nutrition and Functional Foods, providing access to interdisciplinary resources and clinical populations relevant to weight, nutrition, and body image research.
Lesley Pritchard, PT, PhD, is a Professor in the Department of Physical Therapy within the Faculty of Rehabilitation Medicine at the University of Alberta. Her work bridges clinical practice and academic research in pediatric rehabilitation, with active teaching responsibilities including PTHER 563 (Gross Motor Development and Pediatric Physical Therapy) and REHAB 601 (Research Design in Rehabilitation Research). Her educational foundation includes: PhD in Rehabilitation Medicine (University of Alberta, 2008) MScPT (University of Alberta, 2002) BScPT (University of Alberta, 1996) Dr. Pritchard's research centers on improving rehabilitation outcomes for children with motor disabilities, particularly through understanding family perspectives on service delivery and developing evidence-based interventions for cerebral palsy. She investigates community participation barriers and designs child-focused rehabilitation approaches that prioritize functional outcomes in natural environments. Her recent publication trends (2022-2025) reveal a strategic focus on implementation science and translational research. Key themes include validation of assessment tools like the Gross Motor Family Report, qualitative exploration of family experiences with orthotics and telehealth, and rigorous evaluation of innovative interventions such as robotic gait training. There is strong emphasis on mixed-methods designs and multi-center trials that bridge clinical practice and research evidence. No scientific awards are documented in the provided materials. As a graduate supervisor, Dr. Pritchard mentors students in rehabilitation research methodology while securing substantial grant funding for projects like the ENGAGE study on goal setting and TIPS for telehealth implementation. Her work demonstrates consistent collaboration with interdisciplinary teams across clinical, academic, and policy domains. She leads the ENGAGE research group focused on child-centered rehabilitation and contributes to the University of Alberta's Pediatric Rehabilitation Research cluster, collaborating with clinicians, families, and international researchers to advance evidence-based service delivery models.
