Senior Research Scientist for @CliMA at Caltech. P/O/SDEs, Derivative-free optimization, uncertainty quantification, machine learning, and more!
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CliMA/EnsembleKalmanProcesses.jl
CliMA/EnsembleKalmanProcesses.jl PublicDerivative-free parameter calibration and uncertainty quantification for expensive models using ensemble Kalman methods
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CliMA/CalibrateEmulateSample.jl
CliMA/CalibrateEmulateSample.jl PublicStochastic Optimization, Learning, Uncertainty and Sampling
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CliMA/RandomFeatures.jl
CliMA/RandomFeatures.jl PublicModular random feature approximation in Julia
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tapios/risk-networks
tapios/risk-networks PublicCode for risk networks: a blend of compartmental models, graphs, data assimilation and semi-supervised learning
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