Caitlin Duncan

Caitlin Duncan is a Doctoral Candidate and Researcher at Humboldt-Universität zu Berlin, focusing on human perception and decision-making through the design and execution of experiments as well as data analysis in programming languages such as Python, R, and Matlab. Previous experience includes a role as a Senior Data Analyst at Zalando Lounge, where data-driven insights were emphasized, and consultancy with SEGRO plc, developing a scoring system that yielded significant savings. Research positions at the Max Planck Institute and Tübingen University Clinics involved advanced data analysis for neuroimaging studies. Educational qualifications include a Ph.D. in Psychology from Humboldt-Universität zu Berlin, a Master's in Neural and Behavioral Sciences from the University of Tübingen, and a Bachelor's in Neuroscience and Psychology from Scripps College.