PNNL

As interim Deputy Director for Science and Technology, Dr. Pike is responsible for stewarding Pacific Northwest National Laboratory (PNNL)'s research and development strategy to address critical challenges across the Laboratory’s missions in science, energy, and national security. His leadership focuses on maximizing the scientific quality and mission impact of programs and capabilities across PNNL. His office oversees PNNL's institutional science and technology strategy and investments, technology commercialization activities, strategic partnerships, and institutional planning. 

Prior to his current position, Dr. Pike was the Chief Science and Technology Officer (CSTO) for PNNL’s National Security Directorate. As CSTO, he led organizational strategy to advance fundamental science and applied impact in research areas spanning nuclear science, chemistry, biology, computing, and systems engineering. 

From 2014 to 2022, he was the Division Director for Computing and Analytics at PNNL, where he grew an R&D organization in computer science and software engineering into a nationally distinctive capability of more than 550 staff. He launched new strategic partnerships between PNNL and other leading research institutions and accelerated translation between scientific innovation and operational impact. 

His research has produced advances in visual data analysis methods and geospatial computing. Since joining PNNL in 2005, he has led computing research in streaming analytics and machine learning, computational knowledge representation for large-scale scientific collaboration, human-machine teaming, and large-scale data visualization. He serves on advisory boards for several academic computer science and engineering programs and has chaired IEEE computing conferences and symposia. 

He holds a Ph.D. from Pennsylvania State University and earned his Bachelor’s degree at Carleton College in Minnesota. 

2014

• Endert A., W.A. Pike, and K.A. Cook. 2014. "From Streaming Data to Streaming Insights: The Impact of Data Velocities on Mental Models." In Proceedings of the 2014 Workshop on Human Centered Big Data Research (HCBDR 2014), April 1-3, 2014, Raleigh, North Carolina, Paper No. 24. New York, New York:ACM. PNNL-SA-103846. doi:10.1145/2609876.2609882
• Scholtz J., O.J. Love, W.A. Pike, J.R. Bruce, D. Kim, and A.S. McBain. 2014. "Applying User Centered Design to Research Work." Interactions 21, no. 4:70-74. PNNL-SA-99926. doi:10.1145/2611565

2013

• Creese S., T. Gibson-Robinson, M. Goldsmith, D. Hodges, D. Kim, O.J. Love, and J.R. Nurse, et al. 2013. "Tools for Understanding Identity." In IEEE International Conference on Technologies for Homeland Security (HST 2013), November 12-14, 2013, Waltham, Massachusettes, 558-563. Piscataway, New Jersey:IEEE. PNNL-SA-96792. doi:10.1109/THS.2013.6699064
• Pike W.A., D.M. Best, D.V. Love, and S.J. Bohn. 2013. "Data-Intensive Visual Analysis for Cyber Security." In Data Intensive Computing: Architectures, Algorithms, and Applications, edited by I Gorton and DK Gracio. 258-286. New York, New York:Cambridge University Press. PNNL-SA-85086.

2012

• Black S., S. Creese, R. Guest, W.A. Pike, S. Saxby, D. Stanton Fraser, and S. Stevenage, et al. 2012. "SuperIdentity: Fusion of Identity across Real and Cyber Domains." In ID360: The Global Forum on Identity, April 23-24, 2012, Austin, Texas. Austin, Texas:University of Texas. PNNL-SA-86457.

2011

• Best D.M., R.P. Hafen, B.K. Olsen, and W.A. Pike. 2011. "Atypical Behavior Identification in Large Scale Network Traffic." In 1st IEEE Symposium on Large Scale Data Analysis and Visualization (LDAV 2011), October 23-24, 2011, Providence, Rhode Island, edited by D Rogers and CT Silva, 15-22. Piscataway, New Jersey:IEEE. PNNL-SA-79591. doi:10.1109/LDAV.2011.6092312

2010

• Best D.M., S.J. Bohn, D.V. Love, A.S. Wynne, and W.A. Pike. 2010. "Real-Time Visualization of Network Behaviors for Situational Awareness." In Proceedings of the Seventh International Symposium on Visualization for Cyber Security, 79-90. New York, New York:ACM. PNNL-SA-72442. doi:10.1145/1850795.1850805
• Shah A.R., J.N. Adkins, D.J. Baxter, W.R. Cannon, D. Chavarr�a-Miranda, S. Choudhury, and I. Gorton, et al. 2010. "Applications in Data-Intensive Computing." In Advances in Computers, edited by M Zelkowitz. 1-70. San Diego, California:Academic Press Inc. PNNL-SA-67358.

2009

• Chinchor N., and W.A. Pike. 2009. "The Science of Analytic Reporting." Information Visualization 8, no. 4:286-293. PNNL-SA-66870.
• Dowson S.T., J.R. Bruce, D.M. Best, R.M. Riensche, L. Franklin, and W.A. Pike. 2009. "Visual Analytics for Law Enforcement: Deploying a Service-Oriented Analytic Framework for Web-based Visualization." In Proceedings of the SPIE: Visual Analytics for Homeland Defense and Security, edited by WJ Tolone and W Ribarsky, 7346, Paper No. 734603. Bellingham, Washington:Proceedings of SPIE Volume: 7346. PNNL-SA-65383. doi:10.1117/12.820305
• Pike W.A., J.R. Bruce, R.L. Baddeley, D.M. Best, L. Franklin, R.A. May, and D.M. Rice, et al. 2009. "The Scalable Reasoning System: Lightweight Visualization for Distributed Analytics." Information Visualization 8, no. 1:71-84. PNNL-SA-63504.
• Pike W.A., J.T. Stasko, R. Chang, and T. O'Connell. 2009. "The Science of Interaction." Information Visualization 8, no. 4:263-274. PNNL-SA-66748. doi:10.1057/ivs.2009.22

2008

• Baddeley R.L., K. Younkin, R.M. Riensche, D.M. Best, W.A. Pike, and R.A. May. 2008. "From Desktop to Field: Deploying Visual Incident Analysis for Law Enforcement." In IEEE Conference on Technologies for Homeland Security, 209-214. Piscataway, New Jersey:IEEE. PNNL-SA-59690. doi:10.1109/THS.2008.4534451
• Pike W.A., C. Scherrer, and S.J. Zabriskie. 2008. "Putting Security in Context: Visual Correlation of Network Activity with Real-World Information." In VizSEC 2007: Proceedings of the Workshop on Visualization for Computer Security, edited by Goodall, J. R. and Conti, G. and Ma, K. L., 203-220. Berlin:Springer. PNNL-SA-57153. doi:10.1007/978-3-540-78243-8_14
• Pike W.A., J.R. Bruce, R.L. Baddeley, D.M. Best, L. Franklin, R.A. May, and D.M. Rice, et al. 2008. "The Scalable Reasoning System: Lightweight Visualization for Distributed Analytics." In IEEE Symposium on Visual Analytics Science and Technology (VAST), 131-138. Piscataway, New Jersey:Institute of Electrical and Electronics Engineers. PNNL-SA-59924.

2007

• Pike W.A., R.A. May, and A.E. Turner. 2007. "Supporting Knowledge Transfer through Decomposable Reasoning Artifacts." In 40th Annual Hawaii International Conference on System Sciences (HICSS '07), January 3-6, 2007, Waikoloa, Hawaii, 204-214. Los Alamitos, California:IEEE Computer Society Press. PNNL-SA-50720. doi:10.1109/HICSS.2007.508
• Pike W.A., R.A. May, B. Baddeley, R.M. Riensche, J. Bruce, and K. Younkin. 2007. "Scalable Visual Reasoning: Supporting Collaboration through Distributed Analysis." In 2007 International Symposium on Collaborative Technologies and Systems, 24-32. New York, New York:IEEE Press. PNNL-SA-54275.

2006

• Gahegan M.N., and W.A. Pike. 2006. "A situated knowledge representation of geographical information." Transactions in GIS 10, no. 5:727-749. PNNL-SA-49549. doi:10.1111/j.1467-9671.2006.01025.x