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Meet Connor Hill: The 17-Year-Old Who Used a Computer Program to Solve a Century-Old Mathematical Challenge and Won $250,000

Meet Connor Hill: The 17-Year-Old Who Used a Computer Program to Solve a Century-Old Mathematical Challenge and Won $250,000

 

Pennsylvania teenager makes history after developing a powerful computational method that identified exactly 146 isolated noble polyhedra, alongside two infinite families

At just 17 years old, Connor Hill has demonstrated that groundbreaking scientific discoveries do not always require sophisticated laboratories or years of professional experience. Sometimes, they begin with curiosity, a difficult mathematical question and the determination to find an answer.

The teenager from Port Matilda, Pennsylvania, has emerged as the top winner of the 2026 Regeneron Science Talent Search, earning an extraordinary $250,000 prize for developing a computer program capable of systematically classifying a complex family of three-dimensional geometric shapes known as noble polyhedra.

Hill’s achievement places him among the brightest young scientific minds in the United States and highlights the growing power of computational mathematics in tackling problems that have challenged researchers for years.

A Mathematical Mystery Hidden in Three Dimensions

Polyhedra are three-dimensional structures made up of flat polygonal faces, straight edges and vertices. Familiar examples include cubes, pyramids and octahedrons. But Hill’s research focused on a far more complicated category: noble polyhedra.

These shapes possess an exceptionally high degree of symmetry. Every face has the same shape, while every vertex has an identical arrangement of faces around it. A cube provides a relatively simple illustration of this principle: its six faces are identical squares and each of its eight vertices has the same configuration.

Noble polyhedra, however, can be considerably more complicated. Some can even contain self-intersecting structures, making them far more difficult to classify than the familiar geometric solids encountered in basic mathematics.

For mathematicians, the challenge was not simply to discover individual shapes, but to determine whether the complete collection could ever be identified.

From 61 Known Examples to 146

Before Hill began his research, mathematicians had already discovered two infinite structural families of noble polyhedra. However, the situation was much less certain when it came to isolated examples, individual noble polyhedra that do not belong to those infinite families.

By 2020, researchers had confirmed 61 isolated examples, but the possibility remained that many more were waiting to be discovered.

Hill decided to approach the problem differently.

Rather than attempting to examine an enormous number of three-dimensional shapes one by one, he developed a custom computer algorithm capable of systematically exploring the mathematical possibilities. His breakthrough came from transforming the geometric problem into an algebraic one.

By expressing the problem through mathematical equations, including polynomial equations, Hill was able to convert what initially appeared to be an almost limitless search into a finite collection of possibilities that could be systematically checked by a computer.The result was remarkable.

His exhaustive computational search demonstrated that there are exactly 146 isolated noble polyhedra, in addition to the two previously known infinite families. In other words, Hill did not simply find another geometric shape. He helped establish the complete classification of an important mathematical family.

Turning an Impossible Search Into a Solvable Problem

One of the most impressive aspects of Hill’s work was the strategy behind it. Instead of confronting the entire complexity of the problem at once, he changed the way the problem was represented.

Explaining his approach in a discussion published through Regeneron’s scientific portal, Hill described the importance of translating the problem into another mathematical framework.

His method essentially allowed him to take an enormous and complicated geometric search and reduce it to something finite that could be solved computationally.

This approach demonstrates an important principle in modern science: sometimes the biggest breakthroughs come not from working harder on a problem in its original form, but from finding a completely different way to represent it.

A Passion That Began in an Online Geometry Community

Hill’s journey into the problem reportedly began through his involvement in an online geometry community, where enthusiasts and mathematicians discussed the classification of noble polyhedra as an open challenge. What began as an intellectual interest eventually developed into an ambitious research project.

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His work demonstrates how digital communities can expose young people to advanced scientific questions far beyond what they might encounter in a traditional classroom. For Hill, geometry was not simply about calculating angles, drawing shapes or memorising formulas. It became a gateway into computational mathematics and scientific discovery.

Why Hill’s Work Could Matter Beyond Geometry

The significance of Hill’s achievement may extend beyond the world of polyhedra. His computational approach reflects a broader strategy increasingly used across modern science: breaking an extremely complicated problem into smaller mathematical components that computers can systematically analyse.

This principle is already important in fields such as biomedical research, where mathematical and computational models are used to investigate complex biological processes, including protein folding, disease development and interactions between drugs and biological systems.

Hill’s work therefore illustrates how pure mathematics can provide ideas and techniques that may eventually prove useful in other scientific disciplines.

He has also expressed interest in extending his computational methods to investigate compound polyhedral structures and connected geometric networks, suggesting that his mathematical journey is far from over.

A $250,000 Recognition of Young Scientific Talent

Hill’s achievement was announced at a black-tie ceremony at the National Building Museum in Washington, D.C., by Regeneron Pharmaceuticals and Society for Science. The Regeneron Science Talent Search, now in its 85th year, is regarded as one of the most prestigious science and mathematics competitions for high school seniors in the United States.

This year’s competition awarded more than $1.8 million to 40 finalists, selected from thousands of students across the country. Hill took the top prize of $250,000, while two other teenagers claimed the second- and third-place positions.

Seventeen-year-old Edward Kang of Hackensack, New Jersey, won $175,000 for developing an artificial-intelligence screening tool called RetinaMind. His project used retinal scans to identify subtle blood-vessel patterns associated with autism and attention-deficit/hyperactivity disorder, while also incorporating cellular models to investigate related genetic changes.

Third place and $150,000 went to 17-year-old Iris Shen of The Woodlands, Texas, who investigated potential treatments for blood cancer using clams as a research model. Together, the finalists demonstrated the remarkable breadth of scientific research being undertaken by young students, from abstract mathematics and artificial intelligence to biomedical research.

Recognition From America’s Scientific Community

Maya Ajmera, President and CEO of Society for Science and Executive Publisher of Science News, praised the finalists for their creativity, determination and willingness to tackle difficult problems.

She described the students as examples of the next generation of problem-solvers whose ambition and perseverance offer hope for the future. Regeneron also emphasized the importance of investing in young scientific talent.

Interestingly, Regeneron’s co-founder, Board Co-Chairman, President and Chief Scientific Officer, Dr. George D. Yancopoulos, was himself a winner of the competition in 1976.

His connection to the competition underscores how opportunities given to young researchers can potentially shape careers that influence science for decades.

A Major Investment in the Next Generation

Beyond the 2026 awards, Regeneron announced a 10-year extension of its title sponsorship of the competition through 2036. The company also pledged an additional $150 million to support STEM education programmes and scientific competitions organized by Society for Science.

The investment sends a powerful message: discovering and nurturing young scientific talent is not simply about rewarding today’s winners, it is about building tomorrow’s scientific community.

From Pennsylvania to MIT

For Connor Hill, the $250,000 prize is only one part of the story. The teenager plans to attend the Massachusetts Institute of Technology (MIT) in the autumn, where he intends to continue studying computational mathematics.

His journey from an online geometry community to the biggest stage for high school science in the United States is a striking example of what can happen when curiosity meets persistence, mathematics meets technology, and a young mind is given the freedom to investigate a problem that many others considered exceptionally difficult.

Hill’s achievement also carries a wider lesson for students everywhere. The boundaries between mathematics, computer science and scientific research are becoming increasingly interconnected. A problem that appears impossible when viewed from one perspective may become solvable when approached through another.

And sometimes, the person capable of finding that new perspective is not an established scientist or university professor, but a 17-year-old student with a computer, a mathematical question and the determination to keep searching for an answer. Connor Hill did exactly that. And in the process, he didn’t just win $250,000.

He helped provide a definitive answer to a difficult mathematical question and offered a glimpse of what the next generation of computational scientists may be capable of achieving.

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