Stanford Interdisciplinary Graduate Fellowships (SIGFs)

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Stanford Interdisciplinary Graduate Fellow shares his research on "Simulating the impact of sensorimotor deficits on reaching performance" at a poster session.

Training the next generation of interdisciplinary neuroscientists

The Stanford Interdisciplinary Graduate Fellowship (SIGF) is a competitive, university-wide program that awards three-year fellowships to outstanding doctoral students engaged in interdisciplinary research. Three independent institutes, Bio-X, Wu Tsai Neurosciences Institute, and Sarafan ChEM-H award these graduate fellowships in the biosciences. 

The Wu Tsai Neurosciences Institute partners with the Vice Provost for Graduate Education and Stanford BioX to award Stanford Interdisciplinary Graduate Fellowships (SIGFs) in the area of neuroscience. We are grateful to Bio-X and the Bio-X Leadership Council for incorporating the fellowships affiliated with the Institute into their application process.

Learn more about the 2024 application and eligibility

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2024 SIGF Application

All applications submitted through the portal will be considered for fellowships associated with Stanford Bio-X, Wu Tsai Neurosciences Institute, and Sarafan ChEM-H. Students with research especially aligned with the scientific mission of the Wu Tsai Neurosciences Institute graduate fellowships should select "Wu Tsai Neurosciences Institute Fellowship" on their application.

Funded SIGF projects

Wu Tsai Neurosciences Institute
SIGF - Graduate Fellowship
2018
Synaptic rules and circuit architectures for learning from feedback

Dr. Brandon Jay Bhasin will use engineering principles from modern control theory, experimental neuroscience and computational neuroscience to significantly advance understanding of how feedback driven plasticity in a tractable neural circuit is orchestrated across multiple synaptic sites and over various timescales so that circuit dynamics are changed to improve performance.

Wu Tsai Neurosciences Institute
SIGF - Graduate Fellowship
2020
Magnetic Resonance Imaging of Epileptogenesis

Absence epilepsy is a form of pediatric epilepsy which causes seizures with brief lapses in awareness. Electron microscopy results in a murine model of absence epilepsy support the hypothesis that maladaptive myelination plays a role in disease progression.

Wu Tsai Neurosciences Institute
SIGF - Graduate Fellowship
2015
Understanding cellular responses induced by chronic implantation of electrodes using a novel human neural differentiation platform

Electrodes implanted in the brain have great potential, with applications in neurodegenerative disease, brain-computer interfaces, and more. However, the presence of electrodes in brain tissue causes a response known as gliosis, in which a scar forms around the electrode, reducing its effectiveness and access to neurons.

Wu Tsai Neurosciences Institute
SIGF - Graduate Fellowship
2022
Leveraging screenomics to identify mental illness: Detecting bipolar disorder through computational analysis of smartphone screen data

Mental illnesses like bipolar disorder affect millions of people around the world, but early symptoms are often difficult to detect. Working across the disciplines of clinical psychology, communication, and computer science, my research will develop a novel computational tool to identify signals of mania and depression in real-time.

Wu Tsai Neurosciences Institute
SIGF - Graduate Fellowship
2020
How do Schwann cells sort and myelinate axons in the developing peripheral nervous system?

Schwann cells (SCs) sort and myelinate peripheral axons, and impairments in either process can cause long-term disability. There are no therapeutic strategies for targeting SC dysfunction, underscoring the need to investigate mechanisms of sorting and myelination. Both processes require highly motile SC cytoplasmic protrusions, but the basis of this motility is unclear.