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Data Samurai Fellowship Program

Debuting in the summer of 2025, the Data Samurai Fellowship is a pioneering research initiative designed to unite the brightest minds in research across fields with data science, artificial intelligence, and scientific research and bringing them together to solve some of today’s most complex and meaningful challenges across industries, economics, health, science and disciplines.

Empowering Innovation at the Frontiers of Research

This highly selective fellowship offers researchers, data scientists, and technologists the opportunity to apply advanced computational techniques to drive breakthroughs in science, engineering, sustainability, and beyond. Fellows will work on real-world projects that harness AI and machine learning to analyze large-scale, high-impact datasets—unlocking new insights and driving innovation at scale.

2025 Fellowship Recipient: Sunday Negedu

We’re honored to announce Dr. Sunday Negedu as the first recipient of the Data Samurai Fellowship. Dr. Negedu exemplifies the mission of our fellowship—bridging deep scientific expertise with real-world innovation. His research spans chromatin domain insulators, breast cancer biomarkers, and therapeutic strategies rooted in molecular biology. But what makes Sunday stand out isn't just his academic rigor—it's his commitment to mentorship, accessible science, and global health impact. Through his teaching, research, and volunteer work, he brings knowledge to life in a way that empowers others.

Read Sunday's Full Profile!

Why This Fellowship Matters

  • Accelerating Discovery: Use AI to uncover patterns and insights across large-scale datasets in science, engineering, and technology.
  • Interdisciplinary Innovation: Collaborate at the intersection of data science, computational modeling, and domain-specific research.
  • Real-World Impact: Contribute to meaningful advancements with applications across sectors such as energy, environment, health, and more.
  • A Community of Experts: Join a vibrant network of researchers, technologists, and innovators driving the future of data-driven science.

Who Should Apply?
We are looking for passionate individuals who want to push the boundaries of AI and data science in research and innovation. Ideal candidates have:

  • A background in Data Science, Computer Science, Engineering, Physics, Bioinformatics, Environmental Science, or a related field

  • Proficiency in machine learning, AI, and statistical modeling

  • Experience with tools such as Python, R, SQL, or other data science platformsAn interest in applying computational methods to real-world research challenges (prior domain experience is a plus, but not required)


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