Join our Cosmos Briefing Supercomputing & Big Data, Thursday 15 April.
Think of a computing process underpinned by masses of complex data – such as modelling planet-wide shifts in climate, or simulating the detonation of an atomic bomb. The process is known as supercomputing, and it’s run on powerful system working at its maximum potential performance – a supercomputer.
Typical supercomputing applications include weather forecasting, resources exploration and climate research. More recently they’ve been employed on multiple fronts during the COVID pandemic. They’re the big analysis machines we turn to in order to consider the world’s, and science’s, very big questions.
Professor Alan Duffy of The Royal Institution of Australia will host Dr Karen Lee-Waddell, Professor Sean Smith, and Ivan Galea for the 45-minute session, beginning 3pm AEST. Please register here.
Lee-Waddell is currently the Director of the Australia SKA Regional Centre (AusSRC). In this role, she is leading the Australian effort to build computing and data intensive research capabilities that will support astronomers using the next generation of telescopes. She is also currently the Project Scientist for WALLABY, the all-sky neutral hydrogen survey that is being conducted on the CSIRO’s new telescope, the Australian Square Kilometre Array Pathfinder (ASKAP).
Smith commenced as Director of the NCI in January 2018 and is conjointly Professor of computational nanomaterials science and technology at the ANU. He has extensive theoretical and computational research experience in chemistry, nanomaterials and nano-bio science and technology.
Galea joined Atlassian as the Vice President, Analytics and Data Science in May of 2018. A native of the Mediterranean island of Malta, Ivan completed his PhD in Computational Physics from Yale University then found himself working in New York City for BCG focusing on tech and financial services. In 2007, Ivan moved to Wall St, and by the following year became fascinated by algorithmic trading and the application of analytics in the business of equities trading. He spent months building and perfecting an algorithmic model that performed significantly better than the traders and discovered that the true impact comes from empowering people with these tools. Ivan fostered empathy, understanding, and a deep appreciation of the customers’ needs and behavior, as well as a soft touch to reduce the fear of change. After 5 years in NYC, Ivan and his family relocated to the Bay Area where he took a role at PayPal leading customer analytics and data science for Global Product. Ivan helped PayPal by pushing the envelope in analytics to improve the user experience for their mobile product. In 2014, Ivan took on a new challenge at the company Box, where he established the company’s data strategy and built an analytics, data science and data engineering teams from the ground up. Ivan is a husband and loving father to two young boys and has personal passions around teaching STEM to help lift kids from poverty and create new opportunities, trail hiking, marathon running, gardening, and is a huge fan of reading.
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