Seyedeh Ebrahimi

My research focuses on probabilistic machine learning, Bayesian inference, and constraint-aware modelling for complex data analysis. I develop and apply uncertainty-aware machine learning methods that combine statistical modelling, optimization, and domain knowledge. My methodological interests include Bayesian modelling, approximate inference, variational inference, Monte Carlo methods, probabilistic graphical models, uncertainty quantification, and constrained optimization.