Join us for a panel presentation and discussion exploring the impact of supercomputer Graham on big data research, featuring: Scott Hopkins (Chemistry), Andrea Scott (Systems Design Engineering) and Régis Pomès (Hospital for Sick Children).
The Research Talks series celebrates the research happening across campus and provides an opportunity for staff, faculty, and students to meet the researchers and learn more about their work.
A light lunch will be provided. Please register in advance.
Meet the Speakers
Scott Hopkins, Department of Chemistry
Understanding the structures and properties of nanoclusters by engaging supercomputing
Scott Hopkins directs a multidisciplinary research program that seeks to unravel the chemistry and physics that underpin the structures and properties of nanoclusters. To do this, the Hopkins group employs a suite of experimental techniques, the outcomes of which must be supported by high-level quantum chemical calculations. Professor Hopkins will provide a brief overview of how his research team uses high performance computing to model the complex structures and properties of isolated gas phase nanocluster systems.
Andrea Scott, Department of Systems Design Engineering
Processing remote sensing data using supercomputing to improve knowledge of sea ice
Andrea Scott's research focuses on the use of data to improve model predictions. This involves the assimilation of remote sensing data to improve knowledge of the state of sea ice in the Arctic. She will discuss how she utilizes supercomputing to conduct research on the assimilation of sea ice thickness and/or sea ice temperatures from visual/infrared sensors, and uses Synthetic Aperture Radar (SAR) data to estimate sea ice concentration.
Régis Pomès, Hospital for Sick Children and University of Toronto
Developing novel computational methods with supercomputing to study biomolecular systems
Régis Pomès is a senior scientist at the Hospital for Sick Children and an associate professor, biochemistry, at the University of Toronto. His research focuses on the development of computational methods to study biological processes. He seeks to uncover the link between the structure, dynamics, and function of proteins. Utilizing computer simulations of molecular models, he gleans spatial and temporal resolutions inaccessible by experimental methods. With supercomputing, he studies systems of biological relevance with atomistic resolution over time scales extending from the femto - to the microsecond and beyond - 9 to 11 orders of magnitude in time over which many important biological processes occur at the molecular level.
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