Scholar
Luka Grbcic
Google Scholar ID: FGbaOmQAAAAJ
Lawrence Berkeley National Laboratory
Citations & Impact
Citations
602
H-index
14
i10-index
18
Publications
20
Co-authors
6
list available
Publications
Resume (English only)
Research Experience
- January 2023 – Present: Postdoctoral Researcher, Lawrence Berkeley National Laboratory, Berkeley, California, USA
- Conducted research on machine learning methods for engineering and science
- Developed tailored solutions for autonomous experimentation
- Collaborated with domain scientists on AI-driven experimental acceleration
- Developed software for inverse design using Tandem Neural Networks
- October 2016 – September 2021: Doctoral Researcher / Research and Teaching Assistant, University of Rijeka, Croatia
Background
- Postdoctoral researcher at Lawrence Berkeley National Laboratory, Applied Math and Computational Research Division
- Member of the Applied Computing for Scientific Discovery group
- Research focuses on developing computational tools and methods to accelerate scientific discovery
- Key research areas: hybrid machine learning and optimization methods, batch active learning for autonomous experimentation, tandem neural networks, surrogate black-box optimization
- Currently exploring LLM agents and evolutionary-inspired frameworks for improving active learning and optimization algorithms
- All research is driven by real-world problems in science and engineering
- Based in the SF Bay Area
