Two from MIT named 2026 Knight-Hennessy Scholars

2026-05-14 · Source: MIT News - Artificial intelligence · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Robotics & Autonomous Systems, Data Science & Analytics · Depth: Fundamental Awareness, quick

Summary

MIT students Sunshine Jiang ’25 and Rupert Li ’24 have been named 2026 Knight-Hennessy Scholars, a prestigious fellowship funding up to three years of graduate studies at Stanford University. Jiang, who double-majored in physics and electrical engineering and computer science at MIT, will pursue a PhD in computer science at Stanford School of Engineering, focusing on embodied artificial intelligence and robotics. Her work includes developing data-efficient, adaptive systems for general-purpose robots and creating AI-powered systems for art education. Li, an MIT graduate with double majors in mathematics, computer science, economics, and data science, is currently pursuing a PhD in mathematics at Stanford School of Humanities and Sciences. His research interests span probability, discrete geometry, and combinatorics, and he previously earned a master’s degree from the University of Cambridge as a Marshall Scholar.

Key takeaway

For students considering advanced degrees in STEM, note that interdisciplinary backgrounds and a strong research portfolio significantly enhance competitiveness for top-tier fellowships like the Knight-Hennessy Scholarship. Focus on developing adaptive systems or exploring foundational mathematical concepts, and actively seek out mentorship opportunities to strengthen your application and academic trajectory.

Key insights

The Knight-Hennessy Scholarship supports exceptional graduate students pursuing diverse fields at Stanford University.

Principles

• Interdisciplinary study fosters innovation.
• Mentorship is crucial for academic development.

In practice

• Apply for prestigious graduate fellowships.
• Engage in interdisciplinary research early.

Topics

• Knight-Hennessy Scholarship
• MIT Alumni
• Stanford Graduate Studies
• Embodied AI
• Robotics Research

Best for: AI Student, Research Scientist, General Interest

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Editorial summary, takeaway, and curation by AIssential. Original article published by MIT News - Artificial intelligence.