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 application details and eligibility criteria.

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2025 SIGF Application

All applications submitted through the portal will be considered for the Stanford Interdisciplinary Graduate Fellowships (SIGFs) affiliated with the Wu Tsai Neurosciences Institute or Sarafan ChEM-H, the Bio-X SIGFs, and the Stanford Bio-X Bowes Fellowships. 

Funded SIGF projects

Wu Tsai Neurosciences Institute
SIGF - Graduate Fellowship
2021
Design and development of a high-performance intra-cortical speech BCI

Many neurological injuries and diseases such as brainstem stroke and Amyotrophic Lateral Sclerosis (ALS) result in severe speech impairment, drastically reducing quality of life. Recent progress in brain-computer interfaces (BCI) has allowed these individuals to communicate, but performance is still far lower than typical spoken conversation speeds.

Wu Tsai Neurosciences Institute
SIGF - Graduate Fellowship
2018
Deep brain microstimulation for memory recovery

Yi Lui's project aims to use deep brain microstimulation (DBMS), which causes even less brain damage and has higher spatial resolution than DBS, for memory recovery.