The UBC Data Science and Health (DASH) Research Cluster is excited to launch our new AI Meets Ethics Speaker Series! This series will explore the ethical implications of, and considerations for, implementing AI technologies in healthcare. The first session features DASH Cluster’s EDI Co-Lead, Dr. Charlene Ronquillo. This event is free and open to everyone […]
Lecture Title: Genome Instability and Aging Speaker Biography: Dr. Jennifer Cobb is a Professor in the Department of Biochemistry and Microbiology at the University of Victoria. Her research investigates the impact of cellular age on DNA double-strand break repair and nuclear organization. Dr. Cobb moved her research program to the University of Victoria in 2022 and continues […]
Join us for a special Beaty Nocturnal with Bettina Harvey, the artist behind the current feature exhibition, Drift: from the forest to the sea. Bettina will talk about her artistic journey, as well as the role of citizen scientists in monitoring biodiversity, and environmental grief and resilience. The talk will be followed by a panel discussion with artists and […]
Abstract: PyTables is a free and open-source Python library for managing large hierarchical datasets. It is built on top of numpy and the HDF5 scientific dataset library, and it focuses both on performance and interactive analysis of very large datasets. For large data streams (think multi-dimensional arrays or billions of records) it outperforms databases in […]
Avian influenza, or bird flu, has been receiving growing media attention due to continuing significant impacts on public health, economic stability, food security, animal welfare, and global health security. With the potential for highly pathogenic strains to cause severe illness and high mortality rates in birds and occasionally infect humans, the threat of a mutated […]
Each year, UBC’s Killam Accelerator Research Fellowships (KARF) support six exceptional early career researchers to pursue research projects with the potential for significant impact in their field of study. Join us over two special evenings of lectures to hear how the inaugural cohort of KARF recipients, funded in 2020, have advanced their research and scholarship. […]
Join the UBC Department of Cellular & Physiological Sciences for the 19th D. Harold Copp Lecture with Dr. Pieter Cullis, on “Lipid Nanoparticle Systems for Enabling Gene Therapies”. Join in-person or online on May 5, 2023 from 3–4 pm. The D. Harold Copp Lecture is a UBC Faculty of Medicine sponsored lectureship that arose in […]
The UBC Department of Surgery Grand Rounds is an Accredited Group Learning Activity (Section 1) as defined by the Maintenance of Certification Program of the Royal College of Physicians and Surgeons of Canada. These rounds are typically scheduled on the second Wednesday every month during the academic year (September to June), from 7 am to 8 am, cover a […]
As part of a new collaborative partnership with UBC, TEBO Group of Industries has launched an open call to support novel research projects that integrate technology development and transfer into regional and international infrastructure initiatives. TEBO is providing up to $2 million for projects through this call, where researchers can then leverage these funds through other […]
The Ars Scientia research cluster launched a collaborative residency program in 2021, bringing together artists and physicists to interrogate the intersections of art and science. Please joins us at UBC Botanical Garden Reception Centre for our 2nd annual research symposium, encou(n)ters, to learn more about residency experiences and engage in interdisciplinary discussions with our participating […]
Each year, UBC’s Killam Accelerator Research Fellowships (KARF) support six exceptional early career researchers to pursue research projects with the potential for significant impact in their field of study. Join us over two special evenings of lectures to hear how the inaugural cohort of KARF recipients, funded in 2020, have advanced their research and scholarship. […]
Abstract: Training models from scratch requires way too much data, time, and computing power (or money) to be a practical option. This is why transfer learning has become such a common practice: by starting with models trained on related problems, you are saving time and achieving good results with little data. Now, where do you […]
