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carbonate and lithium hydroxide production, hydrometallurgical processes, and battery recycling, while applying sensitivity, uncertainty, and scenario analyses to identify key process and supply-chain drivers
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device-relevant properties Design active learning, Bayesian optimization, uncertainty-aware modeling, and other adaptive experimental design workflows to guide experiments and improve data efficiency in
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and global sourcing strategies, taking into consideration of various risks and uncertainties. Partner with an interdisciplinary team to support creation of supply chain databases and develop user
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, stochastic, robust, and multi-objective optimization. Conduct analyses of industrial system resilience, competitiveness, and operational performance under uncertainty. Support model development for co