On May 13, 2026, Professor Sylvester James Gates Jr. (“Jim Gates”), a member of the US National Academy of Sciences and Distinguished University Professor at the University of Maryland, delivered an inspiring lecture titled “My Life as a Theoretical Physicist” at the 13th Global Wisdom Talk, Zhiyuan College. The event drew a full house of faculty and students, including Professor Xiangdong Ji (Tsung-Dao Lee Institute) as host, and several leaders from the School of Physics and Astronomy and Zhiyuan College.

Gates, renowned for his pioneering contributions to supersymmetry, supergravity, and string theory, shared an unlikely personal journey. Growing up as an African American in the southeastern United States, he attended a low-performing high school in Orlando, Florida. He credited comic books and sci‑fi movies as the spark that ignited his curiosity about the universe.

“The greatest limitation is not your environment, but your imagination,” Gates told the audience. He emphasized that daring to imagine is the most important quality for a researcher. Even at MIT, his path was not smooth. After struggling with intense academic pressure in his first year, he learned a crucial lesson: “Don’t hide in a corner and cry. Find what you are truly good at.” Resilience and flexibility, he said, are keys to eventual success.

Mathematics as a Window into the Unknown

As a co-author of the classic Superspace, Gates described the profound role of mathematical symmetry in physics prediction. He noted that many important discoveries—such as the Higgs boson—were predicted by theorists decades before experimental confirmation, based purely on mathematical structures. Even today, many mathematically predicted particles and structures remain undiscovered, awaiting future experiments.

AI as ‘Cognitive Eyeglasses’

On artificial intelligence, Gates shared a forward-looking view. Quoting his own 2005 prediction—“Computers will become creative tools for mathematics and science, just as musical instruments are for music”—he acknowledged that he now uses GPT at least five times a day. He likened AI to “eyeglasses that help researchers see a larger world.”

However, he cautioned that while AI excels at processing massive datasets (e.g., protein folding), it cannot yet replace human creativity in proposing entirely new physical pictures when data are scarce. He predicted the emergence of “non‑traditional” discoverers who master AI to connect isolated data points and produce breakthrough insights.

Advice for Young Scholars

During the Q&A session, Gates offered four practical suggestions:

Build a solid foundation in one specific area before branching into interdisciplinary work.

Follow your inner passion, not money—opportunities will come when you are truly capable.

Never live with regret—“Don’t look back and wish you had tried.”

Inspire through joy—his own two children became scientists simply by watching him “doing something with delight.”