John Wu, a dark-haired person wearing a gray suit, poses for a headshot against a gray background.

Applied math

Modeling and simulation

Machine learning / AI

Software enabling science

Data science

Decorative panels on the exterior of the computer cabinets for the Perlmutter NERSC-9. World map with interconnecting lines. CAMERA scientific figure. Michael Mahoney, a light-haired person wearing a brown suit, speaks into a microphone onstage.

“Berkeley Lab is unique because its machine learning expertise is reasonably well established, and its tradition of team science means that we can work with researchers to apply these methods to scientific problems.”

Sherry Li, a dark haired person wearing a black sweater, poses for a headshot in front of a whiteboard.

“Although much of the time and effort spent in the software maintenance is not reflected in our research publication list, it is more than rewarding to see the wide use of this software in both the high-end scientific world and the commercial world.”

Ann Almgren, a brown-haired person wearing a dark shirt, smiles for a headshot outdoors.

“I think one of the things Berkeley Lab does well is allow people to make collaborations that advance science much more efficiently.”

Graphical illustration of network connections. Gerbrand Ceder, a dark-haired person wearing a black turtleneck, poses for a headshot.

Berkeley Lab’s research into machine learning builds on its foundational work in mathematics to develop methods that are consistent with physical laws, robust in the presence of noisy or biased data, and capable of being interpreted and explained in scientifically meaningful ways.

Berkeley Lab Research Scientist Mariam Kiran uses deep reinforcement learning and innovative multi-objective optimization techniques to train network controllers to predict network traffic and improve traffic engineering.

First developed about 80 years ago, machine learning is a type of AI centered on programs — called algorithms — that can teach themselves different ways of processing data after they are trained on sample datasets.

X-ray crystallography Two people with short hair and glasses standing next to each other for a photo in a foyer. A dark blue, green, and white digital illustration of a set of human lungs on a screen with small coronavirus particles and graphs and medical symbols. CPU desktop with the contacts facing up lying on the motherboard of the PC. the chip is highlighted with blue light. Technology background Aerial views of Berkeley Lab made using an aerial photography drone. Kristin Persson, a brown-haired person wearing a black dress, points at her electrolyte genome 3D visualizations.