Nina Berry received a B.S. in Computer Science at Mary Washington College. She went on to receive a M.S. in Computer Science and a Ph.D. in Industrial and Manufacturing Engineering at Penn State. Dr. Berry is currently a Principal Member of Technical Staff at Sandia National Laboratories. Dr. Berry researches software entities known as intelligent agents. In addition to her numerous publications, she chairs a standards committee for the Foundation for Intelligent Physical Agents. Because of her outstanding accomplishments, Dr. Berry has received a Women of Color Technology Award in Government and Defense for Educational Leadership in Government.

Brian M. Dennis is an Assistant Professor at Northwestern University jointly appointed in the Computer Science Department of the McCormick School of Engineering and Applied Sciences, and the New Media Program of the Medill School of Journalism. As a graduate student in Computer Science at UC Berkeley he caught the newsroom bug working on a journalism minor and has been interested in the intersection of media and technology ever since.

Portia Eley has worked in the business and computer community for over 11 years. The past three years have been spent gaining technical knowledge and skills. Portia has assisted specialty schools in developing and maintaining LAN and WAN systems, as well as hardware and software installation and configuration; helping these schools run more efficiently and effectively. Her specialty is creating tutorials and assisting in training faculty, students and staff on networked resources.

Most recently, she completed a Master of Management in Business at Cambridge College. She serves on several committees that promote diversity, women in business and information technology. Her current interests include developing tutorials for children ages 2 and up who have limited access to computer resources, with intent to teach them computer use.

Jeffrey Forbes is an Assistant Professor of the Practice at Duke University. He received a B.S. in Computer Science from Stanford University and a Ph.D. in Computer Science from the University of California, Berkeley. His research interests include intelligent agents, robotics, and computer science education.

Phoebe E. Lenear received her B. S. and M.S. degrees in general engineering from the University of Illinois at Urbana-Champaign (UIUC) with specializations in mathematics and human-computer interaction. In January 2004, she will be receiving her PhD in Human Resource Education, with an emphasis in technology education and training, instructional design, and program evaluation. Her dissertation topic is entitled, "The Effect of an Internet-based Mentoring Program on the Transactional Distance, Interaction, and Dialogue between Mentors and Proteges." Her aspirations are to continue research in online mentoring and work with inner city schools to assist them with integrating technology into the classroom.

She currently works as a Program Manager at the National Center for Supercomputing Applications (NCSA) in Champaign, IL and serves as the chairperson of the NCSA Diversity Committee.

Monica Martinez-Canales is a senior member of the technical staff at Sandia National Laboratories where she engages in research on error estimation of numerical solutions of partial differential equations, design of experiments, Bayesian statistics, and uncertainty quantification.

Dr. Martinez-Canales holds a B.S. in Mathematics from Stanford University, an M.A. and a Ph.D. in Computational Applied Mathematics from Rice University. She completed an NSF Postdoctoral Fellowship in the Dept. of Geological and Environmental Sciences at Stanford University prior to joining Sandia National Laboratories.

Juan Meza holds Ph.D. and M.S. degrees in Mathematical Sciences from Rice University. He also holds M.S. and B.S. degrees in Electrical Engineering (cum laude) from Rice University. His current research interests include parallel nonlinear optimization and methods for uncertainty quantification.

As head of the High Performance Computing Research Department at Lawrence Berkeley National Laboratory, Dr. Meza oversees work in scientific data management, visualization, computational grids, numerical algorithms, and application development. He is responsible for developing short- and long-term research and development plans and proposing new technology directions.

Prior to joining Lawrence Berkeley National Laboratory, Dr. Meza worked at Sandia National Laboratories.

Radha Nandkumar obtained her Ph. D. in physics from the University of Illinois at Urbana-Champaign, U.S.A. Her research interests in the areas of condensed matter physics, extrapolated to astrophysical systems, have extended to observational astronomy, theoretical modeling and computational science. She joined the staff of the National Center for Supercomputing Applications in Illinois in 1985 and has been with the Center since its inception. She has held various responsibilities at NCSA for enabling computational science research and has an in-depth knowledge of current trends in technology and advances in computational science. She has participated in NCSA's strategic planning, management, customer relationships, peer review processes and resource allocations. Most recently she also completed an Executive M.B.A. at the University of Illinois and is in charge of NCSA's Campus Faculty Relations and International Affiliations Program. She is a speaker and a panelist and has made numerous invited presentations globally in the area of high performance computing and computational science. She serves on several committees that promote diversity, women in computing and information technology, and computational science. Her current research interests are related to grid computing.

Ann Redelfs has worked in and volunteered for the high-performance computing community for 15 years at National Science Foundation-sponsored centers of computing and research, including the Cornell Theory Center, Center for Research in Parallel Computation, and the San Diego Supercomputer Center (SDSC). During this time, she developed partnerships and plans to strengthen the base and scope of these centers and their missions, participated in strategic planning, and developed and executed external relations and education strategies and programs.

She has worked to strengthen diversity programs for several conferences and organizations, including the Richard Tapia Celebration of Diversity in Computing, Grace Hopper Celebration of Women in Computing, Coalition to Diversify Computing, CRA Committee on the Status of Women in Computing Research, Institute for Women and Technology, and the Education, Outreach, and Training Partnership for Advanced Computational Infrastructure. Finally, she was the co-chair of SDSC's Diversity Committee, overseeing programs to strengthen the work environment for all SDSC employees, from 2000-2002.

Valerie E. Taylor earned her Ph.D. in Electrical Engineering and Computer Science from the University of California, Berkeley, in 1991. From 1991-2002, Dr. Taylor was a member of the faculty of Northwestern University. Dr. Taylor has since joined the faculty of Texas A&M University as Head of the Dwight Look College of Engineering's Department of Computer Science and holder of the Stewart & Stevenson Professorship II.

Her research interests are in the areas of computer architecture and high performance computing, with particular emphasis on mesh partitioning for distributed systems and the performance of parallel and distributed applications. She has authored or co-authored over 70 publications in these areas. Dr. Taylor has received numerous awards for distinguished leadership and research.

Pamela J. Williams is a senior member of the technical staff in the Computational Sciences and Mathematics Research Department at Sandia National Laboratories. Her research interests include large-scale constrained optimization and mathematical software design.

A native of Hopkinsville, Kentucky, Dr. Williams earned a B.S. in mathematics from the University of Kentucky. In 1998, Williams received her Ph.D. in computational and applied mathematics from Rice University, studying under thesis advisors Richard Tapia and Amr El-Bakry. Her outreach activities include the Go Figure Mathematical Challenge, Expanding Your Horizons in Sciences and Mathematics, and Santa Clara University's Mentoring Underrepresented Students in Engineering (MUSE) Program. Williams' honors and awards include an Otis A. Singletary Scholarship (1987-1991), National Society of Black Engineers Fellow (1990 and 1991), AT&T Cooperative Research Fellowship (1991-1998), and Lawrence Livermore National Laboratory Education Outreach Award (2001). She is a member of ACM, INFORMS, NSBE, and SIAM.

Bryant York holds an A.B. in mathematics from Brandeis University, an M.S. in management from the Sloan School at MIT, and an M.S. and Ph.D. in computer science from the University of Massachusetts at Amherst. He has held industrial research positions at the IBM Research Labs and at Digital Equipment Corporation's Artificial Intelligence Technology Center. He is currently professor and research director for the Computer Science Department at Portland State University, formerly associate professor and research director for the College of Computer Science at Northeastern University and formerly associate professor of computer science at Boston University.

York has been a member of the NSF CISE Advisory Committee and of the NSF SBE Advisory Panel for the Ethics, Values, and Society. He is a member of ACM SIAM, IEEE-CS, AAAS, ACM Education Board, and ACM US Public Policy Committee.