The Department of Energy’s Joint Bioenergy Institute (JBEI) Chief Executive Officer, Jay Keasling, has announced that Aindrila Mukhopadhyay will step into the role of Vice President of the Fuels Synthesis Division. This announcement comes after a national search and interview process. Mukhopadhyay, who joined the Lawrence Berkeley National Laboratory (Berkeley Lab) in 2003, will continue to serve as Director of JBEI’s Host Engineering group and as Interim Division Director of Berkeley Lab’s Biological Systems and Engineering (BSE) in the Biosciences Area.
JBEI Researchers Develop First High-Gravity One-Pot Process for Producing Cellulosic Ethanol
JBEI researchers Seema Singh and Blake Simmons of the Biological Systems and Engineering Division led the development of a “high-gravity” one-pot process for producing ethanol from cellulosic biomass that gives unprecedented yields while minimizing water use and waste disposal. “High gravity” means high biomass loading – the higher the biomass loading, the lower the costs for converting it to fuels. Read more at Berkeley Lab News Center.
JBEI and GLBRC work together to break down lignin and advance biofuels
To tackle what many consider the next frontier in biofuels research Joint BioEnergy Institute (JBEI) and Great Lakes Bioenergy Research Center (GLBRC) recently joined forces. The focus of their collaboration? Lignin, a glue-like compound in the cell wall of most living plants that gives them their sturdiness.
With two new studies already complete, the two Department of Energy’s Bioenergy Research Centers are finding ways to convert lignin from an undesirable byproduct into a starting material for advanced biofuels and other lucrative chemicals. Read more at the GLBRC website.
Berkeley Lab Researchers Develop New Weapon in the Fight Against Breast Cancer
Mina Bissell, Curt Hines, and Irene Kuhn of the Biological Systems & Engineering Division led the development of the first clinically-relevant mouse model of human breast cancer to successfully express functional estrogen receptor positive adenocarcinomas. This model should be a powerful tool for testing therapies for aggressive ER+ breast cancers and for studying luminal cancers. Read more at the Berkeley Lab News Center.
Computational Researchers Test Advanced Machine Learning Tools for HPC
Deep learning is not a new concept in academic circles or behind the scenes at “Big Data” companies like Google and Facebook, where algorithms for automated pattern recognition are a fundamental part of the infrastructure. A collaborative effort at Berkeley Lab is working to apply deep learning software tools developed for high performance computing environments to a number of “grand challenge” science problems running computations at the National Energy Research Scientific Computing Center (NERSC) and other supercomputing facilities. Researchers in Berkeley Lab’s Biological Systems and Engineering Division, including Kris Bouchard, are using a deep learning library to analyze recordings of the human brain during speech production. More information about deep learning at NERSC.
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