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Previous recordings available on youtube here: Berkeley Lab Interdisciplinary Instrumentation Colloquium Talks Playlist
NB: Only talks with posters are shown here. For all previous talks see: Talks Calendar
CAMERA and one of its Core Missions: Modern Gaussian Processes for Autonomous Labs of the Future
CAMERA and one of its Core Missions: Modern Gaussian Processes for Autonomous Labs of the Future
Dr Marcus Noack (Berkeley Lab), April 2026
The Center for Advanced Mathematics for Energy Research Applications (CAMERA) is a cross-disciplinary initiative at Lawrence Berkeley National Laboratory that develops and delivers new mathematical foundations, algorithms, and software to accelerate scientific discovery at experimental facilities.
Gaussian processes (GPs) are a foundational machine learning method that unifies probabilistic function approximation, uncertainty quantification, and decision-theoretic optimization.This talk presents recent advances in scalable, domain-aware GP methodologies designed for modern applications in physics, biology, materials science, and chemistry.
I will highlight their role in self-driving laboratories and autonomous experimentation, where GP models serve as surrogate predictors and adaptive decision engines in closed-loop exploration and optimization. These developments position Gaussian processes as key enablers of AI-driven discovery—combining statistical rigor, data efficiency, and principled uncertainty estimates to accelerate experimentation and scientific insight.
Dr Paolo Ferracin (Berkeley Lab), March 2026
Dr. Aaron Streets (UC Berkeley), December 2025
Dr. Aldair Gongora (LLNL), November 2025
Dr. Daniel Baxter (FNAL), September 2025
Mr Larry Ruckman (SLAC), August 2025
Dr. Damien Prêle (APC Univ Paris Cité), Mar 2025
Dr. Hansell Gonzalez-Raymat (SRNL), Mar 2024
Dr Paxon Frady (Intel), Novemeber 2023
Dr Farah Fahim (FNAL), April 2023
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