Mark Plitt is a 4th year graduate student in Lisa Giocomo's lab. He is studying the cellular and systems mechanisms of memory formation and spatial navigation. In his research, he combines experimental methods with computational and statistical modeling to understand how animals form and recall memories. In the future, Mark would like his work to help close the gap between cellular and systems level descriptions of neural phenomena.
Elias received his BS in Electrical and Computer Engineering from Cornell University in 2016 and is now pursing his PhD in Electrical Engineering. His interests involve the understanding of natural intelligence and the creation of artificial intelligence. In particular, he hopes to build intelligent systems that are more general, flexible, and robust.
I am an electrical engineering PhD student at Schnitzer Lab. I am interested in innovative technologies that enables to discover new aspects of neuroscience. I am developing fly manipulation tools for chronic imaging without anesthesia and head tracking system for imaging freely moving fly. With these tools, I hope to image neural dynamics of freely behaving flies to further understand their learning and memory.
My name is Chengxu Zhuang. I am a PhD student in Psychology Department of Stanford University, advised by Daniel Yamins. I am interested in both understanding brains and developing more effective AI models. My goal is to fully understand how we can build better AI models using findings from neuroscience and how we can better explain these findings using AI models.
I love to create things - I spend a lot of my free time in the PRL and ceramics studio. I also make educational videos, design tessellations and juggle. My research is about what you see when each of your eyes views a different grating pattern. I use psychophysics and aim to describe the resulting percepts with simple models. I am hoping to find a job that involves education and design, where I can inspire people to pursue their curiosity.
I am a PhD candidate in the Department of Psychology at Stanford University. I am in the cognitive area, and am advised by Professor Jay McClelland. My background is in mathematics, physics, and machine learning. I am interested in knowledge transfer and abstraction, particularly within the context of multi-task learning and meta-learning in machine learning, and high-level human mathematical abilities such as proof.
Saurabh Vyas is a Bioengineering PhD student at Stanford where he studies neural mechanisms underlying motor learning by using a combination of electrophysiology in awake and behaving animals, brain-machine interfaces, and dynamical systems theory. He received B.S. degrees in Biomedical Engineering and Electrical Engineering, and an M.S.E. in Biomedical Engineering all from Johns Hopkins, where he studied neural dynamics in patients with Parkinson’s disease and epilepsy using statistical control theory.
I'm a PhD student in Cognitive Psychology and Computer Science at Stanford University. My primary advisor is Prof. James McClelland. I'm also collaborating with the Stanford NLP group and Prof. Bruce McCandliss in the School of Education. My PhD research focuses on how people learn mathematical language through perceptual and embodied experience.
Nora is a Ph.D. Candidate in the physics department. She works in the Chichilnisky Lab trying to understand how visual information is processed in the retina in natural conditions.
Molly completed a BS in Psychology at Yale, followed by a masters in Bioethics from Columbia. She grew up competitively sailing, based out of NJ. Molly works in the Etkin Lab at Stanford, where she is working to develop a form of closed-loop Transcranial Magnetic Stimulation (non-invasive brain stimulation). Using EEG to record changes in brain state, the closed-loop algorithm selects optimal stimulation parameters within a treatment session. The goal is to use this tool for individualized treatment of psychiatric conditions, such as depression.