Summary
Daphne Theodorakopoulos is a PhD student in AutoML at Leibniz Universität Hannover and a researcher with six years of experience applying machine learning and NLP to real-world problems. She combines academic rigor—MSc in Interaction Technology (cum laude) and a BSc in Information Systems—with hands-on research at DFKI and practical industry internships at Daimler and Capgemini. Her background spans AutoML, text analysis, data science, web development and ERP, and she has led teaching and research projects that analyzed COVID-19 publications to identify supply chain shortages. International study and work experiences in Italy, the US and Germany, plus leadership as a volunteer scout group leader, have sharpened her communication, project planning and cross-cultural collaboration skills. Known for strong analytical thinking and a penchant for taking on new challenges, she bridges research and applied engineering to move prototypes toward impact.
6 years of coding experience
4 years of employment as a software developer
Information Systems, Information Systems at Università degli Studi di Siena
High school diploma, 1,9, High school diploma, 1,9 at Heilwig Gymnasium
Master of Science - M.Sc., Interaction Technology, Cum Laude, Master of Science - M.Sc., Interaction Technology, Cum Laude at University of Twente
PhD Student, AutoML, PhD Student, AutoML at Leibniz Universität Hannover
Bachelor of Science - B.Sc., Information Systems, 1.59, Bachelor of Science - B.Sc., Information Systems, 1.59 at University of Hamburg
Exchange Student, Exchange Student at Liberty High School
English, Italian, French, German, Dutch