Center for Mind, Brain, Computation and Technology

Emily is a PhD candidate in electrical engineering at Stanford University and is a member of Professor Craig Levin's Molecular Imaging Instrumentation Laboratory (MIIL). She is interested in applying deep learning techniques for attenuation correction of simultaneous positron emission tomography and magnetic resonance imaging (PET/MRI) to visualize and quantify the molecular pathways of neurological disorders, such as Alzheimer's disease. Prior to attending Stanford University, she received her BS in electrical engineering from the University of Wisconsin - Madison.

Gabriela graduated from the University of Chicago in 2019 with a BS in Chemical Engineering and a minor in Computational Neuroscience. She is currently pursuing a PhD in Chemical Engineering at Stanford, advised by Surya Ganguli in Applied Physics. Her research currently focuses on bridging work in the Applied Physics and Psychology departments to examine noise correlations and coding fidelity in resting state functional Magnetic Resonance Images (fMRI).

My research philosophy is to connected to totally different fields to create something simple but unexpected. With my optical microscopy background, I joined Mark Brongersma's lab to learn nanophotonics. My research dream is to develop Nanophotonic tools to contribute Neuroscience. Besides science, my passion falls into rock climbing.

Max Kanwal graduated from UC Berkeley with a double major in Electrical Engineering and Computer Science (EECS) and Mathematics.  Max's scientific research interests revolve around developing a common theoretical framework to understand both natural and artificial intelligence.  Ultimately, he seeks to leverage this understanding to advance brain-AI interfacing technologies, in particular to engineer a closed-loop neural control system.  In preparation for this, Max has worked internationally with AI researchers, experimental neuroscientists, complexity theorists, and biologi

Vasily graduated from Moscow State University in 2016 with a degree in Laser Physics and Nonlinear Optics. Currently, he is working on his PhD in Applied Physics in Mark Schnitzer’s group. Vasily’s research interests include adaptive optics for deep tissue multiphoton imaging, large-scale brain voltage waves and critical behavior of neural networks.  He enjoys kayaking, snowboarding and mushroom hunting in his free time.

Pumiao graduated from Cornell University in 2018 with a B.S. in Electrical and Computer Engineering. She previously worked on “Micro-scale RF-powered Magnetic Neural Stimulator”. Currently, she is pursuing a PhD in Electrical Engineering at Stanford. Her research focuses on designing ultra high bandwidth neural interfaces that allow single-cell resolution when communicating with the nervous system. Specifically in the context of retina, she studies how to compress neural signals to reduce hardware power and bandwidth requirements.

Spencer graduated from the University of Toronto with a BASc in Engineering Science. He is currently pursuing a PhD in chemical engineering in Zhenan Bao's lab. Spencer's research focuses on developing spatiotemporally controlled in situ manufacturing of conductive polymers directly on the neuron membrane surface. The eventual goal will be to use the system as a tool for regulating the excitability of specific neural pathways in response to chemical stimuli.

Sa is a PhD student co-advised by Prof. Stanley Qi in Bioengineering and Prof. Guosong Hong in Materials Science and Engineering. Before she came to Stanford, she got her BS and MS from Fudan University in materials science. She is interested in the material-biology interface. With her background in advanced nanomaterials and current training in synthetic biology, she aims to develop novel biotechniques based on biology and nanomaterials for non-invasive neuromodulation.

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