Jorge Loría

Jorge Loría is a Postdoctoral Researcher at the Department of Computer Science within Aalto University. His research focuses on Bayesian inference, neural networks, and statistical learning, particularly exploring probabilistic modeling with heavy-tailed distributions and uncertainty quantification.

Recent work includes advancements in posterior inference for Bayesian neural networks with unbounded variance priors, kernel methods for deep learning, and applications of α-stable distributions in regression and neural processes. His publications span conferences like ICLR and journals such as Statistics and Computing, with a thematic emphasis on robust statistical models and causal inference frameworks.

He has not been explicitly associated with teaching roles, formal student advisement, or scientific prizes. Contact details include the email jorge.loria@aalto.fi.