Tyler E. Maltba

Tyler E. Maltba is a Machine Learning Researcher presently affiliated with Lancium, where they apply their expertise in machine learning methodologies. They have previously worked as a Postdoctoral Researcher at Los Alamos National Laboratory and as a PhD Candidate in Statistics at the University of California, Berkeley, focusing on uncertainty quantification and nonlocality in stochastic systems. Tyler served as a Research Assistant at North Carolina State University, receiving the Richard L. Blanton Outstanding Capstone/Thesis Award for their honors thesis on optimal stopping of high-dimensional Markov processes. Additionally, they have experience as a Teaching Assistant and worked at Argonne National Laboratory, contributing to physics-informed data-driven techniques in uncertainty quantification for complex systems.