AI & ML interests

Statistical estimation and hypothesis testing, post hoc inference, sensitivity analysis, Gaussian processes, optimal transport, fairness and bias, health and biomedical data, inverse problems, continuous optimization, stochastic optimization and neural network optimization.

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