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X-ORIGINAL-URL:https://canssiontario.utoronto.ca/
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UID:MEC-14919153f8aaf3af893165510756de56@canssiontario.utoronto.ca
DTSTART:20251028T160000Z
DTEND:20251028T170000Z
DTSTAMP:20250918T154600Z
CREATED:20250918
LAST-MODIFIED:20251009
SUMMARY:STAGE ISSS: Magali Richard
DESCRIPTION:\nJoin us for the next instalment of the STAGE International Speaker Seminar Series (ISSS) with\n\n\n\nMagali Richard\n\n\n\nResearch Associate, Centre national de la recherche scientifique (CNRS) and Université Grenoble Alpes\n\n\n\nHybrid (In-person/Online) Event \n\n\n\nTalk Title\n\n\n\nComputational Approaches to Characterize Cellular and Spatial Heterogeneity in Cancer\n\n\n\nAbstract\n\n\n\nCancer is a highly heterogeneous disease, with each tumor evolving as a multicellular, self-organized system. Tumors comprise diverse cell types of distinct origins, interacting dynamically to shape a complex ecosystem. This cellular heterogeneity is a major driver of cancer progression, yet remains challenging to observe, quantify, and interpret. Our limited ability to accurately estimate it continues to hamper a comprehensive understanding of oncogenesis. At the interface of bioinformatics, biostatistics, and oncology, our work develops computational strategies to analyze high-dimensional, multimodal molecular data, including single-cell and spatial transcriptomic datasets. These tools aim to disentangle tumor complexity and reveal its functional implications.\n\n\n\nIn this talk, I will present approaches we have designed to characterize tumor heterogeneity. I will illustrate them with two examples: (i) the construction of single-cell atlases to describe cellular heterogeneity in pancreatic adenocarcinoma, and (ii) the analysis of spatial organization to predict how heterogeneity shapes tumor evolution. Finally, I will highlight our efforts to foster collaborative benchmarking and evaluation of computational algorithms through data challenge frameworks. By enabling transparent comparison of methods, such initiatives foster reproducibility and accelerate the translation of methodological research into biological discovery.\n\n\n\nSpeaker Profile\n\n\n\nMagali Richard is a bioinformatician. Trained in molecular biology and genetics, she specialized in computational biology. A researcher at CNRS since 2018, she studies tumor heterogeneity by combining experimental and computational approaches. Her work focuses both on developing new methods and advancing cancer research. She also promotes collaborative science by organizing data challenges.\n\n\n\nSponsors\n\n\n\nCANSSI Ontario STAGE (STAGE) is a training program in genetic epidemiology and statistical genetics, housed at the University of Toronto Dalla Lana School of Public Health, and funded by CANSSI Ontario at U of T, an extra-departmental unit in the Faculty of Arts & Science that is home to the Ontario Regional Centre of the Canadian Statistical Sciences Institute (CANSSI).\n\n\n\nSeminars are sponsored by The Hospital for Sick Children (Genetics & Genome Biology Program), the Lunenfeld-Tanenbaum Research Institute, and the McLaughlin Centre at the University of Toronto.\n\n\n\nPhotography Disclosure:\n\n\n\nPhotographs and/or video may be taken of participants at STAGE events. These photos/videos are for the Program’s use only and may appear on its website, in printed brochures, or in other promotional or reporting materials. By attending STAGE events, you accept the possibility that you may be videotaped or photographed. If you have any concerns, please inform us by sending an e-mail to esther.berzunza@utoronto.ca\n
URL:https://canssiontario.utoronto.ca/event/isss-magali-richard/
ORGANIZER;CN=QLS CAMBAM Seminar:MAILTO:coordinator.qls@mcgill.ca
CATEGORIES:CANSSI Ontario STAGE ISSS
LOCATION:Room 189, 550 Rue Sherbrooke, Montréal, QC
ATTACH;FMTTYPE=image/png:https://canssiontario.utoronto.ca/wp-content/uploads/2025/09/Photo.png
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