Design and evaluation of user interfaces that facilitate interaction with new technologies, focusing on usability, accessibility, and user satisfaction.

Integration of multiple sensory modalities to create intuitive and natural user experiences, enhancing interaction through touch, sight, movement, and speech.

Development of prototypes for augmented and virtual reality applications, as well as wearable and smart-home devices, to explore and validate innovative interaction paradigms.

Designing systems where humans and AI collaborate effectively, ensuring transparency, trust, ethics, and user control in AI-driven processes.

Application of both qualitative and quantitative research methods to gain comprehensive insights into user behavior and preferences, informing design and product decisions.

Planning and conducting experiments to test hypotheses about user behavior, ensuring rigorous and valid results that inform product development.

Analyzing user behavior to predict intentions, enabling the creation of proactive and personalized user experiences.

Utilizing advanced statistical methods (Mixed-Effect & Non-Parametric Statistics) to analyze user data, uncover patterns, and validate research findings, supporting data-driven design decisions.

Proficient in general Python programming and its libraries for data analysis (Pandas, NumPy, SciPy, Statsmodels), enabling efficient processing and visualization of research data.

Skilled in using R, particularly the lme4 package, for statistical modeling and analysis of complex user data.

Translating research findings into actionable insights that drive design improvements and strategic decisions.

Effectively communicating research outcomes to diverse audiences, technical and non-technical stakeholder, facilitating collaboration and informed decision-making.

Effective communication in international and multicultural research settings: English (Fluent), French (Fluent), Italian (Fluent), Portuguese (Advanced).