Knowledge Repository

This website is a repository of edited materials that I’ve developed over the years as a university lecturer. They span fields of applied cognitive science, usability and user experience, human factors engineering, programming, data analytics & AI, human participants research, and general “soft” skills. You can access presentations and notes from content-heavy lectures, reading guides, case studies, ideas for projects and practical exercises, and materials from workshops.

Whether you’re a teacher looking for new ideas, a student wanting to dig deeper into a topic, or a professional in need of a refresher or a new perspective for your projects, I hope you’ll find something interesting here.

Please note: this website is under construction, I upload new materials as I edit them. All content on this page has been developed without use of generative AI.

My work and research

I optimized interfaces and user performance during various tasks (ranging from repetitive to requiring quick and complex decisions), designed remote communication platforms, formulated new research approaches combining multimodal data, and developed and assessed learning interventions and programs. If you’re interested in having a chat about my work, please reach out via email or LinkedIn - I’d love to talk over a virtual cup of coffee!

Broadly speaking, I optimize people’s performance and support them in completing a wide range of tasks. I do this in two ways: through training and through product development.

• In training, I focus on building the user’s skills, knowledge, and confidence to approach tasks and develop the expertise necessary for specialized performance. I take into account individual differences and evidence-based strategies to create targeted programs and interventions.
• In product development, I maintain a user-centered approach, and I adjust and design products, processes, and interactions to alignt with users’ abilities, preferences, and goals. I identify bottlenecks, uncover genuine needs of authentic users, and translate these insights into actionable and pragmatic design recommendations.

Methodologically, I use the full spectrum of qualitative and quantitative approaches, including think aloud protocols, interviews, focus groups, surveys and questionnaires (I design and validate new measurement tools), field studies, observations, experimental and behavioral research (with advanced data modeling and statistical analysis), and even some sensory analysis and text-based analytics. I also focus heavily on eye tracking (including triangulating eye tracking data with other sources) and pupilometry, and I’ve done some EEG work in the past.

I hold a M.S. in Experimental Psychology and a Ph.D. in Cognitive Science, both from Tufts University. I was also an Assistant Professor at the Department of Electronic Systems, Aalborg University, specializing in Engineering Psychology and product design and development.