Careers | Phone Book | A - Z Index

The Future of Machine Learning, Data Analytics

20190402 DOE Math Visioning Group 1200x658

Some 40 early and mid-career applied mathematicians from national labs across the country came together at Berkeley Lab to envision the future of machine learning and data analytics. The gathering also sowed the seeds for future collaborations. » Read More

Modeling the Melting Antarctic Ice Sheet

BISICLES iceshelf study

Dan Martin and colleagues studied the impact of the melting Antarctic icesheet on sea-level rise by running high-resolution, thousand year-long BISICLES ice sheet models. » Read More

UniviStor: Next-generation Data Storage for HPC

Univstor

The Proactive Data Containers project team at Berkeley Lab is developing object-oriented I/O services designed to simplify data movement, data management, and data reading services on next-generation HPC architectures.

IDAES Software Goes Open Source

idaes logo white

The Institute for the Design of Advanced Energy Systems (IDAES) has released the first open-source version of its next-generation computational framework and model library, created to optimize the design of process systems engineering solutions used to model advanced energy systems. » Read More

New Group Taps Lab's Biology and Computing Strengths

Computational Biosciences

A new group in Berkeley Lab’s Computational Research Division (CRD) aims to tap into the lab's expertise in both computing and biosciences, crossing organizational lines to create an integrated team to develop new tools for addressing a range of scientific problems. » Read More

News

Shreyas Cholia 2019

National Academies Taps Cholia for Scientific Workflows Committee

May 20, 2019

Shreyas Cholia has been invited by the National Academies of Sciences, Engineering, and Medicine to serve as a member for the Realizing Opportunities for Advanced and Automated Workflows in Scientific Research committee.

UCMerced2019v3

Computational Research Division Hosts UC Merced Grad Students

May 7, 2019

On May 1, a group of students from UC Merced, all participants in the National Science Foundation’s Interdisciplinary Computational Graduate Education program, visited Berkeley Lab to learn about the many ways computing can be applied to research problems.


20190402 DOE Math Visioning Group 1200x658

Envisioning the Future of Machine Learning and Data Analytics

April 15, 2019

Early to mid-career national lab mathematicians met at Berkeley Lab to discuss challenges in machine learning and data analytics and to seed new collaborations.

Brain Computer With Background

CRD Researchers Using Deep Learning to Help VA Identify Suicide Risk in Veterans

April 4, 2019

Researchers in Berkeley Lab's Computational Research Division are applying deep learning methods and data analytics to electronic health record data to help the Veterans Administration address a host of medical and psychological challenges affecting many of the nation’s 700,000 military veterans.


Univstor

UniviStor: Next-generation Data Storage for Heterogeneous HPC

April 1, 2019

The Proactive Data Containers project team at Berkeley Lab is developing object-oriented I/O services designed to simplify data movement, data management, and data reading services on next-generation HPC architectures.

IDAES framework components

IDAES Process Systems Engineering Software Now Open Source

March 22, 2019

IDAES has released the first open-source version of its next-generation computational framework and model library, created to optimize the design of process systems engineering solutions used to model advanced energy systems.