Research Projects

Dynamic and results-driven UX Researcher with experience in user-centred design and a strong background in qualitative and quantitative research methodologies. I am passionate about inclusive research practices and committed to understanding diverse user needs to inform appropriate and strategic decision-making.

With strong analytical skills and a commitment to high-quality results, I am eager to thrive within your dynamic team and support the delivery of valuable insights to contribute to your growth.

My Working Process

Like most UX researchers, I am used to ideating around the Design Thinking Process, following an Agile setting or through a more linear pattern.

The conduct of workshops with the client is inherent to this process to identify their needs, prioritize them, and set up a planning proposal.

Yet, those workshops are only starting points, I then monitor the design and conduct of interviews, and remote or in-person testing and take care of the analysis, synthesis and translation of the data, to deliver actionable insights.

Learn more about my commitments here

Research Projects in Academia

I hold a Master in Management from the Institut Mines-Télécom Business School in France, where I gained a strong foundation in business strategy, finance, and project management. Coupled with my MSc in Cognitive and Decision Sciences from University College London (UCL), I have developed a dual profile that blends scientific inquiry with practical business acumen. This fusion of academic knowledge and hands-on experience makes me well-suited to oversee the diverse range of responsibilities associated with research and business in UX Research Project Management.

UCL's Master's dissertation with the Human-Centred Interaction Department on Deceptive Patterns: The Effects of Deceptive Patterns on Users’ Mental Health, the Case of eCommerce: How Do They Influence Users’ Decision Making?

Understanding deceptive patterns has become increasingly important as these harmful patterns keep spreading across digital products. However, the role of mental health and how it may increase the vulnerability to deceptive design patterns has not been explored. Therefore, we conducted an online study where participants with elevated levels of depression and social anxiety engaged in a shopping task: four versions of the shop interface were designed with three deceptive patterns and one base condition. Despite the order in which participants were exposed to the deception, deceptive patterns did negatively affect their mood. Deceptive patterns' effectiveness correlates with participants' mental health impairment, as individuals

with social anxiety were more sensitive to nagging and social pressure, and were stronger in front of best deal highlights. Therefore, with this research, we want to promote more ethical design for all.

Quantitative Research

Learn more about the research process and the design here

2024 UCL x LSE Nudgeathon: How to increase the uptake of HPV vaccine among adolescent girls and young women in low-income and middle-income countries?

Master's Thesis: Use and Acceptance of UX Design by End Users, the Case of eCommerce: How to Better Address the User Needs?

The design of the User Experience (UX) has been at the centre of shopping forever. Still, in today’s digital era, everything has to evolve to meet customer expectations and conciliate the complexity of seducing consumers with those of the digital environment. That is why many companies are increasingly investing in UX Design. Besides, as it has turned out to be a critical competitive advantage to put the user at the centre of the conception of any website, it reveals itself to be even more crucial for online businesses where the competition is skyrocketing. The purpose of this master’s thesis is to highlight the importance of UX Design in the use and acceptance of an online business by the end-user. To this end, the notion of UX Design and its place in today’s e-commerce companies are defined to set the theoretical context. Then, different models of user acceptance are introduced, and hypotheses resulting from them are exposed. Finally, a quantitative study was conducted to address those hypotheses, which were presented and analyzed to expose whether those hypotheses are to be confirmed or not.