Yuxin Wu is a PhD student in Electrical Engineering, working with Professor Paul Nuyujukian in the Brain Interfacing Laboratory at Stanford University. She received her Bachelor’s degree in Electronic Information Science and Technology from Tsinghua University in 2022. Yuxin’s long-term research interests include combining Electrical Engineering with Medical Science to improve the design of medical devices and systems.
She/Her/Hers
I am an electrical engineering Ph.D. student and am interested in the dynamics of neural activity within and across brain regions as they relate to motor control, reinforcement learning, and brain-machine interfaces. My approach involves computational analyses of large-scale neural activity patterns, and I am especially interested in bidirectional approaches that take neural dynamics as inspiration for improving machine learning and robotics, as well as using methods from these engineering fields toward understanding the brain.
he/him
I graduated from Berkeley in 2019 with degrees in molecular & cell biology and cognitive science. After that I joined Stanford as a post-bac and in 2021 started my PhD. I'm interested in how we encode, represent, and decode information in cortex, and how those processes enable perception and decision making.
(she/her) I am a PhD student in the Neuroscience area of the Department of Psychology working with Kalanit Grill-Spector and Jason Yeatman. I'm interested in leveraging multimodal approaches to understand the development of brain function, neuroanatomy, and behavior as children learn to read. Before coming to Stanford, I earned my BA in Psychology with a minor in Early Development from UC Berkeley and worked as the lab manager at the Brain Development Lab at Princeton University.
He/Him. I am a Bioengineering PhD student broadly interested in computational neuroscience and cognition. As part of the Poldrack Lab, I am interested in studying how cognitive tasks might be affected by vagus nerve stimulation and building models to explain the neural mechanisms underlying these changes. Before Stanford, I moved from Puerto Rico to Massachusetts to study Computer Science and Electrical Engineering at MIT.
He/him/his. I am a Ph.D. student studying cognitive neuroscience, working with Justin Gardner. My research focuses on how we use our attention to interact with dynamic environments. I use eye-tracking, neuroimaging, psychophysics, and network modeling to investigate the computational underpinnings of attention. Prior to Stanford, I studied Psychology, Statistics, and Biological Sciences as an undergraduate and received my MSc in Brain and Cognitive Sciences at Seoul National University.
Alice (she/her) is a PhD student in the Neuroscience area of the Psychology Department and is advised by Dr. Anthony Wagner. Her research on the temporal dynamics of memory formation and retrieval in the human brain is informed by computational models of neural activity in model organisms and combines human behavior with multiple neuroimaging methods. Before coming to Stanford, Alice conducted research at the Zuckerman Institute at Columbia University, where she received her BA in Neuroscience & Behavior with a concentration in Computer Science.
Lavonna is a neurosciences PhD student in Lisa Giocomo’s lab. She is interested in how neural circuits dynamically change their coding strategies across behavioral states. Previously, she studied this question in the rodent visual system in the Cardin and Higley Labs at the Yale School of Medicine. Now, she studies these questions in the downstream entorhinal cortex, using a combination of in vivo electrophysiology and computational approaches. In her free time, she enjoys running, biking, swimming, and hanging out with friends.
(she/hers) I graduated from the University of Virginia in 2020 and spent a year as a research specialist at the University of California, San Francisco, where I focused on studying homeostatic neural circuits. Now, I am an MD/PhD student in the Neurosciences program co-advised by Dr. Lisa Giocomo and Dr. Karl Deisseroth. I am studying the brain wide dynamics of ketamine in relation to dissociation and in spatial navigation.
Sabrina (she/her) is an Electrical Engineering PhD student advised by Professor Todd Coleman. Her research interests are in signal processing and inference methods for accessible, noninvasive patient monitoring. Prior to Stanford, she received her BS and MEng in EECS from MIT. Outside of lab, she enjoys baking, running, and being involved with teaching and outreach.