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CIFT Researchers

CIFT Researchers bring substantial breadth and depth of experience in super computing, data intensive science, visualization, financial engineering and computer security to the study of modern markets.

David H. Bailey is a Senior Scientist and leader of the Complex Systems Group within the Computational Research Division at LBNL.  Prior to coming to LBNL in 1998, he worked at NASA's Ames Research Center for 14 years.  He is the author of over 160 technical papers and five books. 

Bailey is a well-known figure in the field of high-performance computing, having received the Sidney Fernbach Award from the IEEE Computer Society and the Gordon Bell Prize from the Association of Computing Machinery.  He is also well-known in computational mathematics, having received the Chauvenet Prize and the Hasse Prize from the Mathematical Association of America.

Wes Bethel. Bethel is a Staff Scientist at Lawrence Berkeley National Laboratory, where he is a member of and Group Leader for the Scientific Visualization group.

The group's activities include visualization research and production visualization/analytics, both of which focus on increasing scientific productivity through better visual data understanding technologies. Bethel's research interests include computer graphics and visualization software architecture, remote and distributed visualization algorithms, latency tolerant and parallel graphics techniques.

Dr. Bethel received an MS in Computer Science from the University of Tulsa in 1986, a PhD in Computer Science from the University of California – Davis in 2010, and is a member of ACM, ACM/Siggraph and IEEE.

K. John Wu. Wu is one of the supercomputing community's leaders in Data Management, Data Analysis, and Scientific Computing.
He is the inventor the widely used Fastbit Sytem, and a profilic developer, author and collaborator across multiple areas of Data Intensive Science.

Dr. Wu is an ACM Distinguished Scientist, and winner of an R&D 100 Award in 2008 for the development of FastBit


Oliver Ruebel. Ruebel is a Computer Systems Engineer with the Visualization Group, joining March 2011.
Dr. Rubel was previously a Post-doctoral researcher, Data Analysis Group, Center for Applied Scientific Computing, Lawrence Livermore National Laboratory, Livermore, CA, USA.

He recieved a Dr. rer. nat (Ph.D), from the Department of Computer Science, University of Kaiserslautern, Germany, in November 2009. Thesis title: "Linking Automated Data Analysis and Visualziation with Applications in Developmental Biology and High-energy Physics".

Steven Hofmeyr is a researcher at Lawrence Berkeley National Laboratory, where he is a member of the Future Technologies Group.

His research interests include: information security, modeling of complex systems, such as the Internet and financial markets; particularly understanding the impact of policies and regulation for controlling cyber-threats on a large scale; future operating systems for manycore architectures; and scheduling and load balancing for parallel programming.

Previously he was founder and Chief Scientist at cyber-security company Sana Security, which was acquired by AVG in 2009. He received a Ph.D. in Computer Science from the University of New Mexico in 1999.

He was named one of Infoworld's top 12 Innovators of the Year in 2004, and received the MIT Technology Review TR100 Innovators of the Year award in 2003 for Advances in Network Security.

Xin Guo  joined the Berkeley Department of Industrial Engineering and Operations Research and  in 2006. Prior to that, she was a tenured associate professor at Cornell and spent four years at IBM T. J. Watson research center at Yorktown Heights, where she was the winner of the Herman Goldstein Postdoc Fellowship in 1999.

Dr. Guo is currently an associate professor in the Berkeley IEOR department and has published extensively in financial engineering and related fields.

Sean Peisert is a research scientist in the LBL Computational Research Division and faculty member in the computer science department at UC Davis.

Dr. Peisert's research interests are in computer security, forensic analysis, intrusion detection, smart grid security, the insider threat, and empirical studies of security.

He received  Ph.D., Masters and Bachelors degrees in Computer Science from the University of California, San Diego (UCSD), and was a 2007–2008 I3P Fellow.

He is a faculty member at the UC Davis Computer Security Lab.