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Title: How to contribute to machine learning research and open source software for data analysis
Summary: I'm going to present some opportunities that might interest you, to participate in the wider open-source community.
R in Google Summer of code, possible funding for free software! https://github.com/rstats-gsoc/gsoc2025/wiki
Interactive visualization with the R package animint2, some examples: https://animint.github.io/gallery/
This is a hybrid event. Join the event virtually at https://gdg.community.dev/events/details/google-gdg-cloud-sherbrooke-presents-scipy-1/
or in person at
Université de Sherbrooke - 2500 Boulevard Université Sherbrooke, J1K 2R1
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Agenda
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Hosted By
Nadia Tahiri, PhD, Organizer
Dr. Nadia Tahiri received the M.Sc. and Ph.D. degrees in Computer Science from the University of Quebec in Montreal, Canada. She was a Postdoctoral Researcher working on QSAR/PBPK model prediction in environmental health sciences at the University of Montreal, Canada. She has received several awards and scholarships, author of scientific works that have been published in prestigious journals, conferences, and book chapters. She is currently an assistant professor in the Department of Computer Science at the University of Sherbrooke. Her research interests include bioinformatics, phylogenetic tree, phylogeography, clustering, classification, computational biology, supertree, and consensus tree. Nadia is also very involved in community initiatives that promote women in technology and make committee programs more inclusive (the right measures for equity, diversity, and inclusion) as a committee scientific, an active member of ACM Canadian Celebration of Women in Computing, an ambassador of Women Techmakers, and an organizer of GDG Montreal (collaboration)/GDG Cloud Sherbrooke (lead).
Complete your event RSVP here: https://gdg.community.dev/events/details/google-gdg-cloud-sherbrooke-presents-scipy-1/.
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