Agnieszka Borowska is an Assistant Professor at the Econometrics and Data Science department of the SBE. She is also an Honorary Research Associate at the School of Mathematics and Statistics, University of Glasgow. She holds a PhD from VU Amsterdam and the Tinbergen Institute (2019).
Agnieszka's research interests cover a range of areas in Bayesian and computational statistics, in particular sampling-based methods for prediction and inference, with applications to risk evaluation, state space models, high-dimensional problems with intractable likelihood, and black-box optimisation. She has worked on computational methods such as Monte chain Monte Carlo, approximate Bayesian computation, Bayesian optimisation, and Gaussian processes. Her recent interdisciplinary work had been on statistical inference for complex biophysical models for medical problems.
Since 2025 Agnieszka has been teaching and coordinating Fundamentals of Time Series Econometrics (minor Applied Econometrics course) and Data Science Project (BSc course). Besides, she has been supervising MSc and BSc theses.
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