Dr. Marie Gerritsen-Morelle

• Designed, implemented 4 user studies (350 participants) • Led 20+ expert & group interviews • Designed & developed experimental software tools (Python, PHP, Javascript) • Performed quantitative & qualitative data analysis on complex data (Python, Jupyter Notebook, R, SQL, Power BI) • Coordination between research, development, project partners • Presented technical results to researchers, management, funding partners • 160 hours teaching (programming, databases, web, UX design, critical thinking)

• Maintained and updated a Python-based flight-simulator experimental system • Conducted research and experiments on human-machine collaboration & shared situational awareness • Technical integration of human-machine interfaces • Documentation

In charge of improving a protocol for collecting emotions: • Developed & implemented experiments • Developed a mobile experimental application for emotional data collection (React Native): https://github.com/Orange-OpenSource/GEWMI/ • Performed data analysis (Python 3, Jupyter notebooks) & literature review • Contributed to a scientific paper on emotions detection

Conducted user research and interviews to design a web interface for pharmacists (Shelf Life project)

• Requirements analysis with the client • Redesigned and developed a website presenting and managing scientific data (PHP, JavaSript, SQL): https://magest.oasu.u-bordeaux.fr/

150-hour coursework in statistics, data analytics and machine learning, with hands-on applications in R-Studio Capstone project: Bot detection on X (Twitter) – statistical analysis & ML on large-scale user data – Python & R

Thesis topic: Cognitive Warfare and influence on decision-makers – a methodological approach to designing a system for supporting situational awareness and decision-making

Relevant coursework: Human-centered design, User Experience, Cognitive psychology, Statistics, Programming Capstone project: Prototyped gamified app, validated through user testing Graduation distinction: Very Good

4th out of 100 students – With distinction