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Data Samurai Fellowship Program

Debuting in summer 2025, the Data Samurai Fellowship is a pioneering initiative designed to bring together the brightest minds across fields—uniting AI, data science, and scientific research to solve complex and meaningful challenges.

From economics and health to sustainability and molecular science, this program empowers innovation where it matters most.

Empowering Innovation at the Frontiers of Research

This highly selective program gives researchers, technologists, and data scientists a chance to apply advanced computational methods to real-world research. Fellows analyze large-scale datasets and use machine learning to uncover transformative insights.

Accelerating Discovery

Use AI to identify patterns and trends across large, complex datasets in science, engineering, and technology.

Interdisciplinary Innovation

Work at the intersection of domain knowledge and data science to drive breakthroughs across sectors.

Real-World Impact

Apply your research to energy, health, the environment, and beyond—solving problems that matter.

A Community of Experts

Collaborate with a network of researchers, engineers, and AI practitioners committed to shared learning and bold ideas.

2025 Fellowship Recipient

Dr. Sunday Negedu

Sunday Negedu

Dr. Negedu bridges deep scientific expertise with real-world application. His work spans chromatin domain insulators, breast cancer biomarkers, and therapeutic molecular strategies. What sets him apart is his commitment to mentorship, equity, and scientific accessibility.

His vision aligns with our mission: using data and AI to fuel progress across disciplines and borders.

Read Sunday’s Full Profile

Who Should Apply?

We're seeking forward-thinking researchers eager to apply AI and data science to real-world discovery. The ideal candidate brings passion, technical skill, and a hunger to innovate.

Academic & Technical Background

Fields include Data Science, Engineering, Bioinformatics, Physics, Environmental Science, and more.

Core Skill Set

Proficiency in machine learning, statistical modeling, and languages like Python, R, or SQL.

Applied Research Mindset

An interest in translating computation into meaningful impact across sectors and disciplines.

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