Show Notes
Three things you will learn in this episode: Drug Discovery and Machine Learning
AI usage in modern Computational Research
Challenges in using AI for Precision Medicine and how to combat them
—-------------------------- The BIO5 Institute’s Amy Barber talks with member and one of the University’s experts on AI, Dr. Travis Wheeler, Dr. Wheeler’s research group uses computational methods to advance genome research, drug discovery, and precision medicine. Listen in as they explore the rewarding aspects of his work, how computational tools are transforming drug discovery, and the future of machine learning and AI in biological research. Dr. Wheeler leads a research lab at the University of Arizona that focuses on algorithms and machine learning approaches for computational biology, emphasizing applications to genomics, drug discovery, and animal behavior classification. —-------------------------- Check out some of our previous episodes in relation to AI and computational science! Episode 61: Taming technology, from stone tools to artificial intelligence with Ash Black Episode 60: Merging computer science and ecology to better understand infectious disease with Dr. Lilliana Salvador Episode 35: Big tools for big data with Nirav Merchant —-------------------------- Connect with us! Instagram: @uazbio5 LinkedIn: uaz-bio5-institute Facebook: @UAZBIO5 Website: BIO5.org
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Amy Barber was joined by Dr. Alexander Bucksch, a plant phenomicist and associate professor in the School of Plant Sciences at the University of Arizona. He has over 10 years of experience in developing and applying mathematical and computational methods to study plant morphology and physiology across scales and domains, from the organismal to the ecosystem level, and from above to below-ground. His current research focuses on root phenomics, ranging from the population level to the molecular level. In doing so, he develops computational imaging and simulation techniques that can be applied in the lab and the field.