Center for Mind, Brain, Computation and Technology

I am a PhD student in the cognitive area of the Psychology Department working with Jay McClelland.  I am interested in understanding the reasoning process in goal-directed problems, as well as the role of memory representations in enabling flexible model-based planning. Prior to Stanford, I received my BS in Computer Science and Psychology from Trinity College (2017), and worked on decoding episodic memory from neural signals in the Computational Memory Lab at the University of Pennsylvania. 

I am a PhD student in the department of psychology at Stanford University, advised by Kalanit Grill-Spector. Using fMRI and model-based machine learning methods, I aim to explore how sensory features of space and time are represented in the visual cortex. Before coming to Stanford, I received my BA at McGill University and MSc at Sungkyunkwan University.

Leili is a PhD student at Stanford University Psychology department advised by Brian Knutson.

I'm a neurosciences PhD candidate at Stanford, where I'm co-advised by Shaul Druckmann (neurobiology) and Krishna Shenoy (electrical engineering). Previously, I studied human PFC using ECoG recordings in Bob Knight's group at UC Berkeley, from which I graduated in 2018 with degrees in Mathematics and Molecular Biology.

Ilana got her BA in Neuroscience & Behavior from Barnard College where she was first introduced to neuroscience research in the lab of Dr. Stephen Rayport while studying therapeutic targets of schizophrenia. For her undergraduate thesis work she followed a newfound passion for neuroethology all the way to South Africa alongside Dr. Steffen Foerster to research stress and social behavior in chacma baboons. After graduating, she pursued a curiosity for the underlying molecular mechanisms of the brain to the lab of Dr.

Olamide Abiose is a graduate student in the Neurosciences PhD program. She studies under Dr. Elizabeth Mormino and is particularly interested in the effects of chronic stress in the brain, particularly in the context of Alzheimer’s disease (AD). She uses magnetic resonance imaging, positron emission tomography, and cerebrospinal fluid data to analyze the relationship between stress hormones and AD pathology, brain morphology,  and large-scale functional network topology. She received her bachelor's degree in Philosophy-Neuroscience-Psychology from Washington University in St.

Linnie Jiang graduated from Columbia University in 2019 with a dual BA in Computer
Science and Neuroscience & Behavior. She was an undergraduate Science Research Fellow in
the labs of Richard Axel and Larry Abbott, studying expectation in Drosophila olfactory learning.
Now at Stanford she has joined the labs of Lisa Giocomo and Surya Ganguli and is interested in
studying cognitive representations of uncertainty in the hippocampal-entorhinal circuit.

Siddharth is a PhD student in Materials Science, advised by Nick Melosh and Mark Brongersma. He is interested in developing methods for high bandwidth neural recording. He earned a B.Eng/M.Eng from UNSW (Sydney) in 2017 working with John Daniels and Nigel Lovell.

Jonathan is an Electrical Engineering PhD student, advised by Professor Craig Levin of the Molecular Imaging Instrumentation Lab (MIIL).

His research is focused on improving positron emission tomography (PET) imaging performance.