Methods and Applications of Autonomous Experimentation

Illustrating theoretical foundations and incorporating practitioners’ first-hand experience, book is a practical guide to successful Autonomous Experimentation.

Marcus Noack received his Ph.D. in applied mathematics from Oslo University, Norway.

At Lawrence Berkeley National Laboratory he is working on stochastic function approximation, optimization, and uncertainty quantification, applied to Autonomous Experimentation.

Daniela Ushizima, Ph.D. from the University of Sao Paulo, Brazil, majored in computer science and has been associated with Lawrence Berkeley National Laboratory since 2007, where she investigates machine learning algorithms applied to image processing. Her primary focus has been on developing computer vision software for scientific imaging.