Summary
Paramita Mirza is a researcher with 11 years of experience at the intersection of computational linguistics, NLP, and data/text analysis, currently advancing human–AI language understanding at ScaDS.AI Dresden. Her work spans pre- and post-training methods for large language models, temporal and causal event extraction, and bridging theoretical insights with practical ML improvements. She brings a strong academic pedigree—from a PhD in Computational Linguistics to research roles at Max Planck and Fraunhofer—paired with early industry firmware and software development experience that grounds her engineering pragmatism. Originally from Indonesia and trained across Europe, she uniquely frames language research as a cultural as well as technical endeavor, which informs cross-lingual and interpretability perspectives in her projects.
11 years of coding experience
11 years of employment as a software developer
Master of Science (MSc), Cognitive Science, Master of Science (MSc), Cognitive Science at Université de Lorraine
Bachelor of Science (BSc), Informatics, 3.43, Bachelor of Science (BSc), Informatics, 3.43 at Institut Teknologi Bandung (ITB)
Doctor of Philosophy (Ph.D.), Computational Linguistics, Doctor of Philosophy (Ph.D.), Computational Linguistics at Università degli Studi di Trento
Master of Science (MSc), Computer Science, 110/110, Master of Science (MSc), Computer Science, 110/110 at Libera Università di Bolzano
Indonesian, English, Italian, French