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December 2015 - New Employees

December 1, 2015

Leen Alawieh

Leen Alawieh, CRD

As a new postdoctoral fellow in Berkeley Lab’s Center for Computational Sciences and Engineering (CSEE), Leen Alawieh will be integrating experimental observations with numerical simulations and mathematical formulations to quantify uncertainties in models of complex physical systems.

“There has been a general consensus among researchers to shift from the strict deterministic to the probabilistic interpretation of physical model predictions,” says Alawieh. “This is instigated by the multitude of uncertainties that taint physical systems both in experiments and models. Accounting for these uncertainties can sometimes lead to widely different model predictions, which could have serious impacts on scientific insights, designs and decisions that rely on these predictions.” 

Although her work on uncertainty quantification methods in CSEE will focus primarily on combustion applications, she notes that it will also be applicable to other research areas like climate and earthquake forecasts, carbon sequestration, as well as material design and optimization.

Originally from Lebanon, Alawieh completed her undergraduate studies in Chemistry at the American University of Beirut in Lebanon. Shortly after, she came to the United States as a Fulbright Scholar and pursued a Master’s degree in Physical Chemistry and Physics from the University of Texas, Austin (UT Austin). She earned her PhD in Mechanical Engineering from Johns Hopkins University. And before coming to Berkeley Lab, Alawieh developed algorithms for extreme-scale Bayesian inverse problems and the stochastic representation of model inadequacy as a postdoc at UT Austin’s Institute for Computational Engineering and Sciences.

In her free time, she enjoys doing indoor and outdoor sports activities, attending live music concerts and theater performances, as well as reading.

About Computing Sciences at Berkeley Lab

The Computing Sciences Area at Lawrence Berkeley National Laboratory(Berkeley Lab) provides the computing and networking resources and expertise critical to advancing Department of Energy Office of Science (DOE-SC) research missions: developing new energy sources, improving energy efficiency, developing new materials, and increasing our understanding of ourselves, our world, and our universe. ESnet, the Energy Sciences Network, provides the high-bandwidth, reliable connections that link scientists at 40 DOE research sites to each other and to experimental facilities and supercomputing centers around the country. The National Energy Research Scientific Computing Center (NERSC) powers the discoveries of 7,000-plus scientists at national laboratories and universities. NERSC and ESnet are both Department of Energy Office of Science National User Facilities. The Computational Research Division (CRD) conducts research and development in mathematical modeling and simulation, algorithm design, data storage, management and analysis, computer system architecture and high-performance software implementation.

Berkeley Lab addresses the world's most urgent scientific challenges by advancing sustainable energy, protecting human health, creating new materials, and revealing the origin and fate of the universe. Founded in 1931, Berkeley Lab's scientific expertise has been recognized with 13 Nobel prizes. The University of California manages Berkeley Lab for the DOE’s Office of Science. The DOE Office of Science is the United States' single largest supporter of basic research in the physical sciences and is working to address some of the most pressing challenges of our time. For more information, please visit science.energy.gov.