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Lane Harrison
Lane Harrison has been awarded tenure and promoted to associate professor in the Department of Computer Science. Harrison is an expert in visualization and human-computer interaction, teaching courses in data visualization and web development. His research leverages computational methods to understand and shape how people interpret, use, and create visualizations and visual analytics tools. Harrison’s work has led to design guidelines for visualizations in cybersecurity, news, and education. He participates in WPI’s Data Science, Interactive Media and Game Development (IMGD), and Bioinformatics and Computational Biology programs. Harrison joined the faculty in 2015. He earned his BS and PhD at the University of North Carolina at Charlotte, and he completed postdoctoral work at Tufts University.
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USC researchers have developed a new method to counter emergent mutations of the coronavirus and hasten vaccine development to stop the pathogen responsible for killing thousands of people and ruining the economy.
Using artificial intelligence (AI), the research team at the USC Viterbi School of Engineering developed a method to speed the analysis of vaccines and zero in on the best potential preventive medical therapy.
The method is easily adaptable to analyze potential mutations of the virus, ensuring the best possible vaccines are quickly identified solutions that give humans a big advantage over the evolving contagion. Their machine-learning model can accomplish vaccine design cycles that once took months or years in a matter of seconds and minutes, the study says.