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Wednesday, October 5, 2022

Yale’s Spielman Wins $3 Million Breakthrough Award

Yale University’s Daniel Spielman received the Breakthrough Prize in Mathematics for “discoveries in theoretical computer science and mathematics.” The prestigious award comes with a cash prize of $3 million.

A Sterling Professor of Computer Science, Statistics, Data Science, Mathematics and Applied Mathematics, Spielman has been on the faculty at Yale University since 2006. In addition to solving long-standing mathematical mysteries, his work has yielded important and highly practical benefits in the following areas: Computing, Signal Processing, and Engineering.

The 2023 Breakthrough Prize winners are: Breakthrough Award Foundation Announced Today and its founding sponsors – Sergey Brin, Priscilla Chan and Mark Zuckerberg, Julia and Yuri Milner, and Anne Wojcicki. In addition to mathematics, winners are recognized for game-changing discoveries in fundamental physics and life sciences. The Foundation also honored early scientists who made significant contributions to their respective fields.

The Breakthrough Award is a highly-deserved honor for Dan, who has made significant achievements in the fields of computer science, mathematics and data science,” said Jeffrey Bullock, Dean of the School of Engineering and Applied Sciences. “His research reaffirms the fundamental value of abstract and fundamental research and shows how it can lay the groundwork for real-world benefits that have impact in many aspects of life. This is something we cannot always predict.”

The Foundation cited some of Spielman’s work, including his role in solving the Cadison-Singer conjecture, a problem unsolved by mathematicians for more than 50 years. Ask if it is possible to collect specific information from systems that can observe or measure only the body. The solutions are relevant to various fields such as statistics, pure mathematics, the mathematical foundations of quantum physics, and computer science.

The Breakthrough Foundation also cited Spielman’s contributions to spectral graph theory, numerical linear algebra, optimization, and coding theory.

Spielman says much of his work is focused on designing faster algorithms for solving systems with linear equations and leveraging those algorithms to perform other functions even faster. says. Winning the Breakthrough Award is “a huge honor and a bit overwhelming,” he said.

We are thrilled that the committee has chosen to evaluate research at the interface between theoretical computer science and mathematics,” said Spielman. “I have always loved how the age of digital technology makes mathematical advances real-world technologies and how technical issues can influence the development of pure mathematics. People who work between the two fields are never quite sure whether to call themselves “mathematicians” or “computer scientists”.

Spielman’s research has led to countless applications, from better medical imaging to improved clinical trial design. His work also helped revolutionize the field of error-correcting codes, which allowed communication devices to transmit information even when some of the information was corrupted. Its work makes communication faster and more reliable, and high-definition television is used to broadcast it.

A 1992 cum laude graduate of Yale University with distinction in computer science and a Beckwith Award winner in mathematics, Spielman received his doctorate in 1992. at the Massachusetts Institute of Technology.

The Breakthrough Award is just the latest of the many accolades that Spielman’s work has earned. In 2013, he was named a MacArthur Fellow, commonly known as the “Genius” Grant. The Simmons Foundation named him to the first class of Simmons researchers, and he received one of the most prestigious awards in mathematics, Rolf His Nevanlinna Prize. He has twice won the Gödel Prize, an annual award for outstanding papers in his scientific field of theoretical computing.

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