Dr. Giera is the director of LLNL’s Data Science Institute (data-science.llnl.gov). He joined LLNL in 2014 as a postdoctoral researcher and is the principal investigator of an LDRD Strategic Initiative on digital twins for virtual inspection of advanced manufacturing as well as technical lead on several advanced analytics and additive manufacturing projects. Giera’s research interests include additive manufacturing, digital twins, machine learning, in situ process monitoring, computational materials science, molecular dynamics, electrophoretic deposition and hyperspectral imaging—all with a focus on developing and applying physics-based and machine learning models to a variety of advanced manufacturing systems. He holds a B.S. in Chemical Engineering from Purdue University and a Ph.D. in Chemical Engineering from the University of California, Santa Barbara.

Research Interests

• Additive manufacturing
• Digital twins
• Machine learning
• In situ process monitoring
• Computational materials science
• Hyperspectral imaging
• Molecular Dynamics
• Electrophoretic Deposition

Conferences

• Science and Technology in Society (STS) Forum – Young Leader
• CIRP General Assembly
• Solid Freeform Fabrication Symposium – An Additive Manufacturing Conference – Advisory Board
• MSEC 2021 Manufacturing Science and Engineering Conference – Co-chaired "Smart Additive Manufacturing" and "Advances in Micro- and Nano-scale Additive Manufacturing” symposia
• International Conference on Additive Manufacturing – 2021 Scientific Organizing Committee
• SPIE Optics & Photonics – Applications of Machine Learning 2021 Conference Chair

Ph.D., Department of Chemical Engineering, University of California Santa Barbara, 2014

B.S., Department of Chemical Engineering, Purdue University, 2008

(see complete list on Google Scholar)

• "Modeling meso-and microstructure in materials patterned with acoustic focusing" Drew S Melchert, Keith Johnson, Brian Giera, Erika J Fong, Maxim Shusteff, Julie Mancini, John J Karnes, Corie L Cobb, Christopher Spadaccini, Daniel S Gianola, Matthew R Begley. Materials & Design 202, 109512 (2021)
• "Heterogeneous Sensing and Scientific Machine Learning for Quality Assurance in Laser Powder Bed Fusion–A Single-track Study" Aniruddha Gaikwad, Brian Giera, Gabriel M Guss, Jean-Baptiste Forien, Manyalibo J Matthews, Prahalada Rao. Additive Manufacturing 36, 101659 (2020)
• "Automated Detection of Part Quality during Two-Photon Lithography via Deep Learning" Xian Lee, Sourabh Saha, Soumik Sarkar, and Brian Giera. Additive Manufacturing 36, 101444 (2020)
• "Correlating dynamic microstructure to observed color in electrophoretic displays via in situ small-angle x-ray scattering." Scott C Bukosky, Joshua A Hammons, Brian Giera, Elaine Lee, Jinkyu Han, Megan C Freyman, Anna Ivanovskaya, Kerry G Krauter, Joshua D Kuntz, Marcus A Worsley, T Yong-Jin Han, William D Ristenpart, Andrew J Pascall. Physical Review Materials 4 (7) 075802 (2020)
• "Automated detection and sorting of microencapsulation via machine learning" Albert Chu, Du Nguyen, Sachin S Talathi, Aaron C Wilson, Congwang Ye, William L Smith, Alan D Kaplan, Eric B Duoss, Joshua K Stolaroff, Brian Giera. Lab on a Chip, 36, 101659 (2019)
• "Mesoscale particle-based model of electrophoretic deposition" Brian Giera, Luis A Zepeda-Ruiz, Andrew J Pascall, Todd H Weisgraber. Langmuir, 33 (2) 652-661 (2017)

• 2018 Mercator Fellowship – German Research Foundation
• 2017 Diversity & Inclusion Director’s Awards – LLNL
• 2014-2024 Science & Technology Publications and Strategic Partnership Awards – LLNL
• 2023 Science and Technology in Society Forum, Young Leaders Award