Sabrina Jones is a PhD student in the Neurosciences IDP program. She currently works in the lab of Prof. Jay McClelland and is interested in artificial and biological learning dynamics and in understanding biologically plausible learning mechanisms. She graduated from the University of Arkansas in 2022 with a BS in Physics and a BA in Psychology and Spanish. Outside of research, she enjoys running and spending time with her dog, Pete!
Sophia (she/her) received her B.S. in Electrical Engineering from UCLA in 2024. Currently, she is a Bioengineering PhD student at Stanford. She is interested in the use of wearable bioelectronics to answer fundamental questions about the mechanisms of pain and how to quantify it.
Caoimhe (she/her) received her BE in Electrical and Electronic Engineering at University College Cork, Ireland. She is currently pursuing a PhD in Electrical Engineering at Stanford University under the guidance of Prof. H. Tom Soh. Her research focuses on developing novel biosensing technologies.
(She/Her) I am a Bioengineering PhD Candidate at Stanford, mentored by Kilian Pohl and Michael Zeineh. Prior to Stanford, I studied Computer Science and focused on applying deep learning to medical image analysis. My current PhD research aims to improve the diagnosis and treatment of neurocognitive disorders such as Alcohol Use Disorder and Alzheimer's disease using advanced machine learning techniques, from the highly-dimensional multi-modal neuroimaging data.
Sydney Hunt (she/her), from Cornwall, New York, is a Knight-Hennessy Scholar pursuing a Ph.D. in Electrical Engineering at Stanford University. She studies brain-computer interfaces (BCI) in the Brain Interfacing Laboratory, led by Paul Nuyujukian.
Hannah (she/her) is an electrical engineering PhD student, co-advised by Keren Haroush and Shaul Druckmann. She is currently interested in understanding the neural dynamics driving social interactions and has a long-term interest in learning and memory. Previously, she earned a BS in Electrical and Computer Engineering from the University of Texas at Austin, where she conducted research in stroke and skin cancer diagnostic methods and non-invasive brain-computer interfaces. Outside of research, Hannah is passionate about science outreach and loves reading, teaching, and mentoring.
I am a PhD student in the Department of Applied Physics, advised by Prof. Mark Schnitzer. I am interested in understanding the dynamics of large neural ensembles and how they shape the brain's computational prowess. Using a combination of optical and data analytic techniques, I am developing novel volumetric, two-photon imaging capabilities for tracking neural activity across the cortical column, a fundamental architectural unit of brain circuitry. Before coming to Stanford, I earned a B.A. from Williams College in both physics and philosophy.
Mila is a PhD student at the Laboratory of Organismal Biology at Stanford University. She studies behavior and neurophysiology, focusing on circadian rhythms of glassfrogs. As a Brazilian, Mila advocates for initiatives that promote diversity, equity, and inclusion in science. She also hosts a podcast in Portuguese about science, academia, and our daily lives, called Charlando. In her free time, Mila enjoys playing the drums and the ukulele, dancing, and playing with her cats.
I am a graduate student in the Lab of Organismal Biology advised by Lauren O'Connell. I am interested in how early life experience effects the brain and influences behavior. Specifically, I will be looking at the development of olfactory circuitry in tadpoles that are exposed to different early life stressors.
In my free time I enjoy rock climbing, snowboarding, traveling, and camping.
I am a PhD student in the Computer Science Department with a focus on artificial intelligence. My research interests bridge the gap between understanding human intelligence and advancing artificial intelligence technologies. By integrating insights from neural mechanisms, I aim to enhance AI systems, contributing to both theoretical knowledge and practical applications.