E. Wes Bethel is an Associate Professor in the Computer Science Department at San Francisco State University, a Research Affiliate at Lawrence Berkeley National Laboratory, and an ACM Distinguished Scientist.
Prior to joining SFSU full time in August 2022, he was a Senior Computer Scientist in the Data Analytics and Visualization Group at Lawrence Berkeley National Laboratory, a Senior Fellow at the Berkeley Institute for Data Science at UC Berkeley, an Adjunct Professor of Computer Science at San Francisco State University.
His current work focuses in these different dimensions of technology:
Leveraging quantum computing and quantum information science and technology to accelerate scientific knowledge discovery.
Rethinking data-intensive methods, such as computer vision, image analysis kernels, and machine learning, for use on current and future architectures, where per-chip processor count is rapidly increasing, and a predominant impediment to scalable performance is data movement through the memory and storage hierarchy.
Architecting modular and heterogeneous data-intensive workflows for use on large-scale HPC platforms.
Overcoming the disparity between our ability to compute and our ability to save data to persistent storage by doing as much analysis and visualization as possible while data is still resident in memory.
Applications of data-intensive methods in computer vision, image analysis, and scientific visualization to specific problems relevant to the DOE science mission.