Distinguished University Professor Bill Fagan and Ph.D. student Anshuman Swain built a new framework for understanding bacterial community interactions and evolution. Their work was published in the January 4, 2022 issue of the Proceedings of the National Academy of Sciences.
His funded project is on "Machine learning analyses of audiological data to predict age-related declines in hearing and cognition."
Pizano (advisor: Joshua Singer) will travel to Baltimore to do cross-campus training at the University of Maryland, Baltimore.
The awardees were biological sciences majors Ethan Cheng, Arman Daneshpayeh and Andrea Orpia.
During her long tenure at the zoo, Smith (Ph.D. '10, BEES; advisor: Professor James Dietz) has served in many roles—including leading giant panda reproduction, overseeing births from Bao Bao to Xiao Qi Ji.
Professor Ricardo Araneda is a co-PI for Learning the Rules of Neuronal Learning, a five-year grant in NSF’s Emerging Frontiers “Understanding the Rules of Learning” program. The project will begin January 1, 2022.
Pioneering late marine researcher took the world along for the ride—literally.
The award from the National Institutes of Health will support his pioneering research to understand how biology influences behavior.
New study by Assistant Professor Heidi Fisher and Postdoctoral Associate Kristin Hook shows that machine learning can help identify cell shapes associated with complex cell behaviors. The results were published on September 22, 2021, in the journal Proceedings of the Royal Society B.
Neuroscience and Cognitive Science graduate students Ira Kraemer (advisor: Catherine Carr) and Elizabeth Kolberg wrote an essay in Acoustics Today on how to support disabled people in research and beyond.