My research interests revolve around Bayesian Inference, Deep Learning, and their combination. In the long term, my goals are: I) to extend the applicability of Bayesian inference under different conditions (e.g., distributed data, large scale, and uncertain observations); and II) promote pragmatism in Deep Learning methods, illuminating little-understood concepts and creating simpler models. Before joining EMAp, I obtained my PhD at Aalto University (Finland).

Areas of Interest: 

• Machine Learning
• Deep Learning
• Artificial Intelligence