PANELIST
Cindy Gonzales
Deputy Director of the Data Science Institute at LLNL
Cindy Gonzales is a data science leader and researcher at Lawrence Livermore National Laboratory (LLNL), where she serves as the Deputy Director of the Data Science Institute and the Group Leader of the Intelligent Detection, Exploitation, and Analysis (iDEA) Group within the Global Security Computing Applications Division. Since joining LLNL in 2016, Cindy has brought a unique blend of technical expertise, strategic vision, and a deep commitment to fostering inclusive scientific communities.
With a master’s in data science from Johns Hopkins University and a Bachelor’s in Statistics with a minor in Psychology from California State University, East Bay, Cindy completed both degrees while working full-time at the Lab through LLNL’s Education Assistance Program. Her research focuses on applying machine learning techniques to automatic target recognition and object detection in unconventional data sources, including overhead and radar imagery, as well as medical datasets.
As a Principal Investigator and Data Scientist, Cindy’s work is at the intersection of advanced computer vision, artificial intelligence, and national security. She has led multiple research efforts addressing complex detection challenges in imagery analysis, cloud detection, and semantic segmentation. Her contributions have extended to mentoring the next generation of data scientists through her role as Co-Director of LLNL’s Data Science Challenge, an immersive two-week program for university students tackling real-world problems.
Cindy is also a passionate advocate for diversity, equity, and inclusion (DEI) in STEM, formalized by her certification in Diversity and Inclusion from Cornell University in 2022. She is recognized not only for her technical acumen but also for her efforts to build supportive and equitable environments in science and technology.
Outside of work, Cindy is an avid long-distance runner and a proud mother of two young children, embodying the balance between professional excellence and personal dedication.
