Meet our 2023 MBCT and NeuroTech Trainees

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By Julia Diaz

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

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. 

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


 

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Balint Kurgyis

Physics


 

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Nick Manfred

Neurosciences


 

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Youssef Faragalla

Neurobiology


 

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Beth Rispoli

Psychology


 

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Liz Jun

Neurosciences


 

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Sabrina Liu

Electrical Engineering


 

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Chelsea Li

Neurosciences


 

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Lavonna Mark

Neurosciences


 

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Alice Xue

Psychology


 

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Hyunwoo Gu

Psychology


 

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Gustavo Santiago-Reyes

BioEngineering


 

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Jewelia Yao

Psychology


 

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Josh Wilson

Psychology


 

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Yiqi Jiang

Electrical Engineering


 

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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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Siavash Moghadami

Chemical and Systems Biology


 

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Favour Nerrise

Electrical Engineering


 

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Mary Kate Gale

Bioengineering


 

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Muhammad Abdulla

Electrical Engineering


 

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Olivia Tomassetti

Mechanical Engineering


 

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Lauren Cooper

Mechanical Engineering


 

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Maylin Fu

Bioengineering

 


 

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Alice Tor

Electrical Engineering

 


 

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Alisa Hathaway

Electrical Engineering


 

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Kenji Marshall

Electrical Engineering


 

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Syamantak Payra

Electrical Engineering


 

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Hannah Field

Bioengineering