Olivia is a fourth-year Neuroscience Ph.D. candidate in the Ponce Lab. While her primary appointment is through Washington University School of Medicine, she is thrilled to be completing her doctoral research as a member of the HMS community. Her research uses computational and behavioral paradigms to elucidate how regions downstream of visual cortex, such as ventrolateral prefrontal cortex, represent and transform highly processed visual information. Olivia received her B.S. in Psychology from Florida State University, where she fell in love with neuroscience, electrophysiology, and computational modeling. Outside of lab, she enjoys crocheting, making homemade jam and bread, mentoring young women in STEM, and hiking with her dog, Rusty.
I'm Binxu Wang, a graduate student in the Neuroscience program (at Washington University). I got my undergrad training in theoretical physics at Yuanpei College in Peking University, and I was working with computational neuroscientist Louis Tao. Deeply enchanted by the beauty and power of geometry in Theoretical Physics, I believe it will play an important role in understanding the neural code. Currently, I'm trying to leveraging tools from geometry, optimization, and machine learning to study the visual brain. I'm interested in understanding the visual representations in the monkey brain, neural networks, and generative models. I believe that the union of theory, computation, and experiments will advance our understanding of the brain and mind.
When not in lab, I do some fun coding projects, read novels, and make 3d art!
Sam graduated from Cornell University with a BFA and a Minor in Architecture in May 2021. He is a multimedia artist exploring perception's role in the creative process and in conveying and understanding the intrapersonal experience. Sam conceptualizes future possibilities and questions regarding direct expression of thought. Inspired by the visual language of pattern recognition, he references pareidolia, surreal automatism, dreams, and artificial neural networks in his practice.
link to thesis video, based on a collaboration with the lab
Victoria is a Ph.D candidate student in Computer Science and she is dedicated to the study of human and machine intelligence and vision. Her research sets out to identify brain-wide visual organizing principles and determine if these principles are shared by learning-based models of the ventral stream (convolutional neural networks, CNNs). Victoria received her B.S. and M.S. in Computer Science and B.S. in Electrical Engineering at Washington University in St. Louis. When not in the lab, she enjoys water-color painting, hiking and teaching her cockatiel Ashe singing and cool tricks.