Guilherme W. F. Barros

Guilherme W. F. Barros is a PhD student in Statistics at Umeå University, affiliated with the Umeå School of Business, Economics and Statistics. Barros works on statistical methodology spanning probabilistic graphical models, Bayesian inference, causal inference, and regularization techniques. Recent publications include work on fairness in machine learning, graphical model reduction, and methods for estimating treatment effects in observational studies, alongside applied collaborations in clinical research on COVID-19 outcomes and stroke.