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Agnieszka Borowska is an Assistant Professor at Vrije Universiteit Amsterdam and holds a PhD from the same institution, awarded in 2019. She specializes in econometrics and data science, with a significant focus on computational statistics and Bayesian methods. Her research emphasizes the development of efficient algorithms for risk evaluation in contexts involving state space models and high-dimensional problems that face intractable likelihoods. Agnieszka actively works on computational techniques, particularly Monte Carlo methods, approximate Bayesian computation, and Gaussian processes for density forecasting. Additionally, she has a keen interest in machine learning, especially deep learning, which presents myriad possibilities for flexible dimensionality reduction and robust regression. Alongside her teaching and research responsibilities, Agnieszka is an Honorary Research Associate at the University of Glasgow's School of Mathematics and Statistics, fostering interdisciplinary collaboration and broadening her research network.
Administered under the Department of Clinical Psychology for Master's in Clinical and Developmental Psychopathology.