I started my PhD in Electrical Engineering at Stanford in 2020. Before that, I received a BS in automation from Tsinghua University in 2017 and an MS in robotics from Carnegie Mellon University in 2019 specialized in machine learning and computer vision. My research interest is applying machine learning methods on neuroimage analysis, especially on modeling the progression of neurodegenerative diseases like Alzheimer’s Disease.
I received my BS in Chemistry from UC Berkeley in 2018. I am currently advised by Bianxiao Cui in the Chemistry Department at Stanford. My research focuses on a label-free, optical approach for recording electrical signals in networks of neurons using an electrochromic material. In my free time, I enjoy rock climbing, playing tennis, and baking.
"Poisoned" by books written by Francis Crick, Eric Kandel and David Marr, Yang has genuine passion in the neurobiological correlates of consciousness, or, to put it more reasonably, cognitive function like memory, emotion, social bonds. Trained as a traditional biology experimentalist, he has the ambition to bridge experiment and theory, to develop (ultimately) the model/theory that truly explains how brain works. When not doing science, he might be playing with his cat, practicing the violin, trying/cooking delicious food, or reading Haruki Murakami.
Yuxi received a BS in Biological Sciences from Tsinghua University in 2018. She is currently a PhD student in the Bioengineering Graduate Program at Stanford and advised by Mark Schnitzer. She is interested in developing and applying image-based transcriptomics tools to study long-term memory and pain processing in neuronal ensembles, and, furthermore, to integrate data over different modalities, for example calcium imaging.
Fatih received his BS degree in Physics and in Electrical and Electronics Engineering from Bogazici University, Turkey, in 2018, and his MSc degree in Physics from University of Waterloo. During his MSc degree, he completed Perimeter Scholars International program aimed at theoretical physicists. As of Fall 2019, he is a PhD student at the Department of Applied Physics, Stanford University.
Nick is an Applied Physics PhD student working in the Hong Neurotechnology Lab. He studies novel minimally-invasive neuromodulation techniques involving microwaves, radio frequencies, and focused ultrasound, all of which offer high tissue penetration depths with opportunities for modulation of deep brain regions. Nick received his undergraduate training in physics from the University of California, Santa Barbara. Outside of the lab, he enjoys hiking, running, and surfing.
I am an Applied Physics PhD student working at the intersection of experimental and theoretical neuroscience under the supervision of Professors Karl Deisseroth and David Sussillo. My current research focuses on identifying and controlling the logic of neural population dynamics through data-driven optogenetic perturbation approaches. It was motivated by my previous works that I combined holographic optics with machine learning for biomedical applications at cellular scales, which were commercialized by Tomocube.
Emily is an Electrical Engineering PhD student, working in Kim Butts Pauly's MR-focused ultrasound group in the Radiology Department. Her primary research interest involves decreasing the invasively of clinical neurostimulation treatments using MR-guided focused ultrasound. Prior to attending Stanford, she received a BS in Electrical Engineering from Harvard University in 2019, triple minoring in Global Health and Health Policy, Catalan Studies, and Spanish Studies.
Ziad is a PhD student in electrical engineering in Prof. Ada Poon’s group. Ziad graduated from North Carolina State University with BS degrees in electrical engineering and biomedical engineering. He previously worked on utilizing ultrasound for non-invasive neuromodulation and investigated signal prediction schemes for mmWave communication systems. He is interested in designing circuits for both in vitro and in vivo systems to stimulate and record neurons at the cellular level using magnetic fields.
Shenandoah graduated from Vassar College in 2018 with a BA in Mathematics and Neuroscience, and in 2019 received a B.Eng. from Dartmouth College in Biomedical Engineering. Now working on her PhD in Bioengineering at Stanford, in the lab of Karl Deisseroth, her research interests lie in using neurotech to explore brain-wide states associated with mood, emotions, and subjective experience. Shenandoah also aims to develop noninvasive methods for interfacing with the brain.