At Brown, Keith leads a research team using numerical analysis and optimization principles to develop computer algorithms and data-driven mathematical models. He uses these tools, or numerical methods, to tackle challenging engineering problems written as partial differential equations, which are equations used to model physical systems mathematically and whose solutions lie in the infinite-dimensional spaces of functions.

The Rhode Island Israel Collaborative (RIIC) in collaboration with the Division of Applied Mathematics and Computer Science at Brown University, held a conference on the accelerating development of AI. AI is expanding to almost every field, from high performance computing to farming. Researchers, developers and enthusiasts are producing innovative solutions based on AI for many problems. The conference brought together top expert speakers in AI from Israel and Rhode Island to present the latest innovations in the field.

In a new study in Nature Computational Science, the scientists describe how they combined statistical algorithms — which need less data to make accurate, efficient predictions — with a powerful machine learning technique developed at Brown and trained it to predict scenarios, probabilities and sometimes even the timeline of rare events despite the lack of historical record on them.

Presenting at the International Congress of Mathematicians can for many, be a career-defining moment. This year ICM 2022 will take place from July 6 to the 14th. Three Brown faculty members will have the honor of presenting their work. Kavita Ramanan, Professor of Applied Mathematics, will speak on "Interacting Processes on Sparse Random Graphs." For more information please visit https://www.brown.edu/news/2022-07-06/icm-2022.