October 27, 2020
October 27, 2020
Presenter: Adam Gormley, PhD
Rutgers School of Engineering
Topic: "Data-Driven Discovery of Nano-Biomaterials with Intelligent Polymer Automation"
Time: 12:10 pm to 1:20 pm
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Abstract: Synthetic polymers have played a key role in medicine and drug delivery for the last 50 years. Their ability to be uniquely tailored for very specific drug delivery or formulation needs makes them highly powerful tools. Recent advances in oxygen-tolerant polymer chemistry have enabled a new and exciting ability to make polymer libraries using laboratory automation. Coupling this polymer automation with machine learning now allows us to sort through a very large range of characteristics to identify highly valuable compositions. In effect, we believe that this unique tool may significantly enable new and fully automated Design-Build-Test-Learn cycles of datadriven design, particularly for biomedical applications
Biography: Adam Gormley is an assistant professor of eiomedical Engineering at Rutgers University and an expert in nanobiomaterials. Prior to Rutgers, Adam was a Marie Skłodowska-Curie Research Fellow at the Karolinska Institutet (2016) and a Whitaker International Scholar at Imperial College London (2012-2015) in the laboratory of Professor Molly Stevens. He obtained his PhD in Bioengineering from the University of Utah in the laboratory of Professor Hamid Ghandehari (2012), and a BS in Mechanical Engineering from Lehigh University (2006). In January 2017, Adam started the Gormley Lab which seeks to develop bioactive nanobiomaterials using robotics and artificial intelligence.
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