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Christiane Adcock
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Ph.D. Student

Jani Adcock

Ph.D. Student in Computational and Mathematical Engineering, admitted Autumn 2018
I develop theoretical and computational methods to model, design, and control energy systems.

Currently, I am researching uncertainty quantification of numerical solutions to PDEs using Multilevel Monte Carlo and task-based parallel computing in the Stanford Uncertainty Quantification lab.

Previously, I worked at DNV GL forecasting wind farm power production, at the National Renewable Energy Laboratory incorporating atmospheric conditions in wind farm flow models, and at Tesla analyzing loads on electric vehicles.

Education

BS, Massachusetts Institute of Technology, Mechanical Engineering (2018)