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About
- Sylff Program
  
  Cultivating leaders of tomorrow in countries worldwide
  
  Mission & Philosophy
  
  The goals of the Sylff Program and the leadership qualities it seeks to nurture
- Message from the Chairman
  
  Promoting peaceful and socially inclusive development
  
  Sylff Association
  
  Platform to bring all Sylff stakeholders closer together
- History
  
  Major milestones since the program's inception in 1987
  
  Contact
  
  Ask questions, offer comments, or come visit us in Tokyo
Institutions
Fellows
Support Programs
- Overview
- Research
  
  Research Grant (SRG)
  
  Up to US$5,000 to support doctoral and post-doc fellows’ academic research activities in their field of expertise.
  
  Research Abroad
  (SRA)
  
  Up to US$5,000 to support research in a foreign country for a doctoral dissertation.
- Social Action
  
  Leadership
  Initiatives (SLI)
  
  Up to US$10,000 for social action projects and conferences/workshops initiated by fellows.
  
  Project Grant (SPG)
  
  Large-scale grants for projects with potential for substantial social impact.
- Networking
  
  Leaders Workshop
  
  Opportunities for intercultural group learning and leadership enhancement.
News & Voices
Administrators
Operation Manual
- Overview
- Conventional Scheme
  
  Guidelines on program and endowment management
- New Scheme
  
  For institutions wishing to focus on program operations
- Administrators Meetings
  
  Learn best practices and meet other Sylff administrators

Fellows Profile

Daniel Evans-Yamamoto

Keio University

Interdisciplinary Studies

Received Sylff fellowship in 2020.
Academic supervisor: Masaru Tomita
Academic achievements, social engagement initiatives:
My latest achievement and published works can be seen in my homepage: https://danyamamotoevans.github.io/works

My motivation is to integrate multi-disciplinary academic fields (Biotechnology(Biology) and Medicine).
My academic research is aimed to develop a new diagnostic method for discovering the difference of protein-protein interactions (PPI) in different individuals. By doing so, we expect to enable a more detailed personalized medicine treatment.
Currently, I have developed a novel high-throughput PPI detection method, and demonstrated that the performance is superior to an orthogonal PPI detection method.
We aim to construct a framework to map the PPI interaction landscape of individuals based on genome/transcriptome information.
Twitter : https://twitter.com/DnEvnsYmmt
LinkedIN: https://www.linkedin.com/in/daniel-evans-yamamoto-a3444318b/

To contact this fellow, email the Sylff Association at sylff[a]tkfd.or.jp (replace [a] with @).