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.

Lenore Blum is Distinguished Career Professor of Computer Science at Carnegie Mellon University where she is co-Director of the NSF-ITR funded ALADDIN Center (for ALgorithm ADaptation, Dissemination and IntegratioN) and faculty advisor to the student organization, Women@SCS. She received her Ph.D. from M.I.T. in 1968 (the same year Princeton first allowed women to enter their graduate program). For over 30 years, she has created programs to increase the participation of girls and women in scientific and technical fields and co-founded many pro-active organizations such as the Math/Science Network and its Expanding Your Horizons conferences.

Carol Frieze (MA in Literary and Cultural Studies, CMU) has been Associate Director for Women@SCS for the past 3 years. She helped design and implement the Women@SCS Roadshow. She taught Cultural Studies in the CMU English department for 4 years while she was enrolled as a Ph.D. candidate, and worked as a student academic advisor in the College of Humanities and Social Sciences. Frieze has a background in inner-city high school teaching and in hospital teaching. Frieze also maintains the School of Computer Science web site at Carnegie Mellon University.

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 where he held the position of Distinguished Member of the Technical Staff and served as the manager of the Computational Sciences and Mathematics Research department.

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.