Summary
Seolhwa Lee is a postdoctoral NLP researcher with eight years of experience specializing in dialogue system evaluation and dialogue summarization, currently based at the UKP Lab in Denmark. She blends computational methods with psychological theory to create more human-aligned dialogue models, a perspective she applied during visiting roles at DIKU and Johns Hopkins where she built chatbot conversation datasets and COVID-19 QA systems. With an integrated MS/PhD from Korea University and a strong academic record, she has hands-on experience across international research labs and workshops like WOCHAT+DBDC5. Beyond core modeling, she brings practical expertise in crowd-sourced annotation and baseline evaluation, making her equally comfortable designing experiments and engineering datasets.
8 years of coding experience
1 year of employment as a software developer
Integrated Ms and PhD, Computer Science, 4.36 GPA, Integrated Ms and PhD, Computer Science, 4.36 GPA at Korea University
Bachelor of Science - BS, Computer Software Engineering, 3.98/4.5 GPA, Bachelor of Science - BS, Computer Software Engineering, 3.98/4.5 GPA at Baekseok University