2013 Simons Institute Research Fellow: Sang-Yun Oh
August 27, 2013
Contact: Linda Vu, +1 510 495 2402, email@example.com
As the first Simons Institute Research Fellow (Theoretical Foundations of Big Data Analysis) at Berkeley Lab, Sang-Yun Oh will be working with the Computational Research Division’s Future Technologies Group to develop large-scale data analysis methodologies and algorithms. His research interests include graphical models estimation and correlation structure recovery for high dimensional data, as well as applying these methods for analyzing real datasets from biology, finance and other scientific disciplines.
Born in Korea and raised in Southern California, Oh came to the Bay Area in the late 1990s to attend UC Berkeley, where he earned a degree in physics. He then worked more than three years as a scientific engineer in the Berkeley Lab’s Life Sciences Division before joining the world of Internet advertising. Eventually, he went back to school and earned a doctorate in computational and mathematical engineering at Stanford University.
“As an undergrad at UC Berkeley, I was involved in a cosmic microwave background (CMB) mapping project. I was fortunate to have participated in the experimental as well as the data analysis aspects of the project, and this experience allowed me to realize my interest in data analysis and computing,” says Oh.
In his spare time, Oh enjoys running, cycling and relaxing in parks.
Established at the University of California, Berkeley (UC Berkeley) in July 2012, the Simons Institute aims to explore deep unsolved problems about the nature and limits of computation by bringing together some of the world’s leading researchers in computer science and related fields. The Institute offers about 16 fellowships each semester in connection with a specific program, and several joint fellowships with partner institutions, including Berkeley Lab.
About Computing Sciences at Berkeley Lab
The Lawrence Berkeley National Laboratory (Berkeley Lab) Computing Sciences organization provides the computing and networking resources and expertise critical to advancing the Department of Energy's 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, including those at Berkeley Lab's Computational Research Division (CRD). 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. NERSC and ESnet are Department of Energy Office of Science User Facilities.
Lawrence Berkeley National Laboratory 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.
DOE’s Office of Science is the single largest supporter of basic research in the physical sciences in the United States, and is working to address some of the most pressing challenges of our time. For more information, please visit science.energy.gov.