Several staff in the Computational Research Division’s Performance Algorithms Group were authors on research papers honored at three separate workshops in November.
Apply by Dec. 13: Postdoc Symposium
Jackie Yao, Berkeley Lab’s 2019 Alvarez Fellow
NWB:N Project Wins 2019 R&D100 Award
Machine Learning Helps Predict Traffic Headaches
New Video Introduces Computational Research Division
Building Energy Efficiency into Paint Design
Frank Olken, a data scientist who spent 36 years at Berkeley Lab tackling the challenge of big data before it became Big Data, died Oct. 18 at age 67. He also worked two stints as a National Science Foundation (NSF) program director in Arlington, Va.
Jackie Yao recently joined CRD as Berkeley Lab’s 2019 Luis W. Alvarez Fellow in Computing Sciences. Her research is focused on developing unprecedented numerical modeling to solve complex multiphysics problems involving electromagnetics, nonlinear magnetics, and acoustics.
Berkeley Lab developed Neurodata Without Borders: Neurophysiology, a data standard for neurophysiology research and a software ecosystem that allows neuroscientists to share, archive, use, and build tools for analyzing data, is gaining traction in the neuroscience community.
A team of Berkeley Lab computer scientists is working with the California Department of Transportation and UC Berkeley to use high performance computing and machine learning to help improve Caltrans’ real-time decision making when traffic incidents occur.
Led by Berkeley Lab in collaboration with the Allen Institute for Brain Science and multiple neuroscience labs, the NWB:N project has created a data standard and software ecosystem that is transforming neurophysiology research.