I am a research scientist with a multidisciplinary research background on machine learning, human-computer interaction, signal processing, and mathematical optimization.

My research interests focus on developing techniques that combine state-of-the-art machine learning algorithms and unobtrusive physiological signals to:

• decode human mental states
• understand human visual attention processes
• anticipate human decision mistakes

The final goal is to employ these techniques in real systems to improve human decision-making performance and solve human-machine interaction challenges.

See my Research page for more information.