Initially, Avery investigated cortical proprioception computations in primates with Krishna Shenoy with the goal of understanding how the brain integrates proprioceptive information into movement planning and execution. He then switched organisms to study fruit flies in the Clandinin Lab.
Shao-Fang (Pam) is a Psychology PhD student in the Wagner Lab. She is interested in how interactions between the cortex and hippocampus contribute to cortical plasticity during learning. She uses lab- and web-based behavioral tests, computational modeling, EEG, and fMRI.
I am a fifth-year PhD student in Statistics, interested in developing tools for the analysis of neuroscience data (focusing especially on brain connectomics),
I am a PhD student in the Stanford University Neurosciences Ph.D. Program; I am co-advised by Liqun Luo and Karl Deisseroth, with support from the NSF Graduate Research Fellowship. Previously, I worked with Gilad Barnea, where I developed a technique for transsynaptic labeling and manipulation of neural circuits. I graduated from Brown University in 2013 with a degree in Applied Mathematics-Biology, where I focused on synthetic biology, engineering, and machine learning. I am currently interested in goal-directed behavior and neural circuit dynamics.
International student originally from Uriangato, Mexico. Using bifurcation theory, Iran aims at explaining the mechanisms of behavioral and neural activity during synchronized motor action. He has previously worked in industry, developing AI algorithms for Apple and Plantronics. In 2019 he received a Human-Centered AI grant. Iran wants to pursue a research career in Theoretical Neuroscience.
Noah holds a Bachelor of Science degree from Johns Hopkins University where he majored in Biomedical Engineering and Applied Mathematics & Statistics. At Stanford he works on novel neural stimulation methods, computational microscopy for whole-brain imaging of neural dynamics in larval zebrafish, and computational tools for the big data problems that arise from high-frequency volumetric neural imaging datasets.
Grace Huckins is a forth-year neurosciences PhD student at Stanford. Her research takes an interdisciplinary approach to the goal of trying to explain mental illness, with the objectives of both facilitating further research and helping those with mental illness understand what is happening in their brains.
Tara Srirangarajan is a Psychology PhD student and NSF graduate research fellow at Stanford University, advised by Prof. Brian Knutson. Before coming to Stanford, she completed her B.Sc. in Behavioral Neuroscience at Northeastern University. Tara's research interests lie at the intersection of affective neuroscience and neuroeconomics. More specifically, her work focuses on how emotional states drive decision-making and affect real-world outcomes.
I am a PhD student in the affective science area of the Psychology Department working with Brian Knutson and Jeanne Tsai. My current research applies machine learning methods to neuroimaging data to study how monetary and social rewards are represented in the brain and if such representations generalize across cultures. I am broadly interested in emotion, motivation, decision-making and culture. I received BS degree in Cognitive Neuroscience from Simon Fraser University in Canada, and worked in clinical psychology labs at UC Davis and UCLA studying psychosis and addiction.
Lisa Yamada is a PhD candidate in Electrical Engineering, working with Professor Paul Nuyujukian in the Brain Interfacing Laboratory at Stanford University. She is interested in applying data science and engineering tools for medical applications towards higher quality and more equitable care. As a computational neuroscientist and clinical research coordinator, she is currently investigating quantitative measures for seizure analyses using human neuroelectrophysiology data (e.g., intracortical EEGs of participants with refractory epilepsy).