David Bailey
Research Fellow

David H. Bailey (currently also a Senior Scientist at the Lawrence Berkeley Laboratory) is a leading figure in the high-performance scientific computing field, with four books and over 170 papers. His 2010 book “Performance Tuning of Scientific Applications” (co-edited by Robert Lucas and Samuel Williams) presents an overview of state-of-the-art research in the field. Bailey has received both the Sidney Fernbach Award from the IEEE Computer Society and the Gordon Bell Prize from the Association for Computing Machinery.

In addition, Bailey is also a leading figure in the field of computational and experimental mathematics. His best-known paper in this area (co-authored with Peter Borwein and Simon Plouffe) describes a new formula, discovered by computer, for the mathematical constant pi. In two more recent papers Bailey and his colleague Richard Crandall demonstrated a fundamental connection between such formulas and the question of whether (and why) the digit expansions of various mathematical constants are “random”. Bailey has received both the Chauvenet Prize and the Merten Hesse Prize from the Mathematical Association of America. Bailey and his colleague Jonathan Borwein of the University of Newcastle, Australia, jointly operate a website and blog devoted to mathematics, computing and modern science ( They also write articles for the Huffington Post ( and the Conversation (

Bailey’s research website is

Hank Childs
Professional Researcher

Dr Hank Childs is the architect of the VisIt project (, a popular visualization tool for extremely large data sets. He was at Lawrence Livermore National Laboratory for ten years, before coming to UC Davis. Hank has multiple roles in the Department of Energy, including as the Chief Software Architect of VACET ( and as a computer systems engineer at Lawrence Berkeley National Laboratory. He received his PhD from UC Davis in 2006.


Silvia Crivelli
Research Associate

Dr. Crivelli’s interests include computational methods for molecular biology that combine high-performance computing, human-computer interaction, and scientific visualization. One primary goal is to design computational tools that allow life sciences and biomedical researchers to model proteins and their complexes and to understand how they perform their functions. She is the PI of the ProteinShop and DockingShop projects ( and A second goal is to use social media to facilitate collaborations among multiple groups to leverage their expertise in the context of protein structure prediction (please visit her blog at and the collaborative project gateway at She was a postdoctoral fellow at the NERSC and Physical Biosciences Divisions at LBNL from 1997 to 1999 and at the Bioengineering Dept. of the University of California Berkeley from 1999 to 2001. She currently collaborates with Prof. Nelson Max on developing methods for simple abstract representations of large 3D bioimages.


Amit Pande
Project Scientist

Amit Pande completed his PhD from Iowa State University, USA in 2010 where > he was awarded Research Excellence Award and Zaffarano Award (H.M.) for his > dissertation titled ‘Algorithms and Architectures for Secure Embedded > Multimedia Systems’. Prior to this he completed his Bachelors from Indian > Institute of Technology Roorkee in 2007. His research interests are in > multimedia systems, wireless networks, embedded systems, security, privacy, > forensics and trust. He was recently awarded ‘Excellence in Post-doctoral > research, 2012′ by UC Davis./p>

Phone: (530) 752-0870
Office: 2201 Watershed

Jeff Rowe
Staff Researcher

Dr. Rowe obtained his Ph.D. from UC Davis in 1996 in Particle Physics. Since joining the Computer Security Laboratory, he has developed several algorithms for responding to network attacks. He was leader of the team testing and maintaining the GrIDS system. He also led the team subcontracted to produce the IDIP Discovery Coordinator for the Boeing Automated Response to Intrusions project. Most recently, Dr. Rowe evaluated GrIDS under the DARPA sponsored Lincoln Lab IDS evaluation program. His research interests include architectures for very large-scale IDS systems, use of correlation techniques in Intrusion Detection and automatic response methodologies. Jeff conducts research with Professor Karl Levitt in the Computer Security Laboratory.

Phone: (530) 752-2149
Office: 2245 Kemper Hall