Meet our 2023 MBCT and NeuroTech Trainees

The Wu Tsai Neurosciences Institute is pleased to introduce our 2023 cohorts of Mind, Brain, Computation and Technology (MBCT) student members and NeuroTech trainees.

Oct 2 2023

Julia Diaz

As technological advancements enable scientists to record, measure, and manipulate brain activity at unprecedented scales, these programs select trainees who are spearheading innovation in this domain.

mbct and neurotech trainees 2023-2024 — 2023-2024 MBCT and Neurotech trainees

Through collaborative efforts, MBCT and NeuroTech trainees will use new approaches to address interesting neurotechnology and neurocomputation questions. Working with engineers, doctors and scientists to develop new technologies to help patients, advance computing and better understand the brain, these students exemplify Wu Tsai Neuro’s mission to cultivate the next generation of neuroscience leaders.

We encourage you to scroll through these remarkable cohorts and get to know the next generation of innovative leaders in the neurosciences.

Mind, Brain, Computation and Technology Student Members

The MBCT student membership program supports PhD students from empirical, computational, technical or theoretical backgrounds as they stretch beyond the traditional boundaries of their department or lab to learn complementary interdisciplinary approaches, advancing their research and helping them develop into leaders and innovators in their field.

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Ryan Yan

Psychology

Balint Kurgyis

Physics

Nick Manfred

Neurosciences

Youssef Faragalla

Neurobiology

Beth Rispoli

Psychology

Liz Jun

Neurosciences

Sabrina Liu

Electrical Engineering

Chelsea Li

Neurosciences

Lavonna Mark

Neurosciences

Alice Xue

Psychology

Hyunwoo Gu

Psychology

Gustavo Santiago-Reyes

BioEngineering

Jewelia Yao

Psychology

Josh Wilson

Psychology

Yiqi Jiang

Electrical Engineering

Yuxin Wu

Electrical Engineering

NeuroTech Trainees

The NeuroTech Training Program, housed in Wu Tsai Neuro's Center for Mind, Brain, Computation, and Technology (MBCT) aims to prepare Stanford graduate students from diverse technical disciplines— including bioengineering, computer science, statistics and physics— to become leaders and major contributors in the rapidly advancing world of neurotechnology.

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