Maxim Ziatdinov is a senior research scientist at Pacific Northwest National Laboratory and leads the machine learning cross-cutting thrust in the ANGEL project. He accelerates breakthroughs in the physical sciences by merging machine learning, experiment, and theory. His work devises science-informed workflows that integrate domain knowledge and simulations, enabling real-time analysis and automated instrument control. Maxim has developed open-source tools—AtomAI, pyroVED, and GPax—that empower deep learning applications in microscopy and active learning for automated experiments. Prior to joining PNNL, he spent over eight years at Oak Ridge National Laboratory pioneering self-driving electron and scanning probe microscopy platforms. He earned his Ph.D. in Engineering Science from Tokyo Institute of Technology.
Email: maxim.ziatdinov@pnnl.gov
Projects: ANGEL