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Can we escape illness by reprogramming our immune system? Let’s think for a moment about our immune system as a biological computer, it can perceive, assess, plan and deliver tailored responses. It can even evaluate and store the outcome. If our immune system learns from its history of injury and illness, could we teach it new behaviours, or reprogram it if it went astray? Using the latest advances in natural language processing, generative AI and quantum supercomputing we have been working to answer that very question. This talk will explore the world of digital immune doppelgangers and how we can use them to learn more about certain illnesses and possibly escape their grip by combining known medicines in new ways. Pandemics, cancer, autoimmune diseases…could we outsmart them all by hacking the immune system’s code? One day soon your physician may be prescribing you the latest update to your own immune operating system. Dr. Gordon Broderick (PhD) holds a doctorate in chemical engineering from the University of Montreal, and a master’s in chemical engineering and an undergraduate in mechanical engineering from McGill University. He received post-doctoral training in cancer genomics and computational biochemistry. He has developed large computing approaches for deciphering the immune system’s design principles and algorithmic programming, supported by the US Army, Department of Veterans Affairs and National Institutes of Health (NIH). He currently holds cross-appointments at the University of Saskatchewan (USask) in mathematics and statistics in the College of Arts and Science and pediatrics in the College of Medicine. He is a principal scientist at the USask’s Vaccine and Infectious Disease Organization where he leads their initiative in mathematical immunology and immunodynamics, applying network and dynamic systems theory to design novel vaccines and immune therapies. This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at https://www.ted.com/tedx