Laura Grigori facts for kids
Laura Grigori is a brilliant French-Romanian scientist. She is an expert in applied mathematics and computer science. She is well-known for her work on how computers solve big math problems and how they can do it faster by avoiding too much communication.
Laura is a director of research at the French Institute for Research in Computer Science and Automation (INRIA) in Paris. She also leads a special project called "Alpines." This project works on scientific computing and is connected to both INRIA and Sorbonne University.
Becoming a Scientist
Laura Grigori earned her Ph.D. degree in 2001 from Henri Poincaré University. Her special project for her Ph.D. was about making computers solve math problems faster. It focused on how to break down very large, complex math problems into smaller parts that computers can handle at the same time.
After finishing her Ph.D., Laura did more research at the University of California, Berkeley and the Lawrence Berkeley National Laboratory in the United States. In 2004, she became a researcher for INRIA. Later, in 2013, she became the head of the "Alpines" project.
Awards and Recognition
Laura Grigori's amazing work has been recognized with several awards.
Top Paper Prize
In 2016, a paper she wrote with other scientists won a major award. This paper was about making computer calculations faster by reducing how much different parts of a computer system need to "talk" to each other. This award, called the SIAM Activity Group on Supercomputing Best Paper Prize, is given to the best paper in parallel computing from the past four years.
Invited Speaker and Fellow
Laura Grigori is often invited to speak at big international conferences about scientific computing. This shows how important her work is to other scientists.
In 2020, she was named a SIAM Fellow. This is a very special honor given by the Society for Industrial and Applied Mathematics (SIAM). She received this award for her important contributions to how computers solve math problems, especially for her work on making these calculations faster and more efficient.
