Summary
Daryna Dementieva is a postdoctoral researcher at TUM with nine years of experience in NLP, responsible AI, and applied data science. She holds a PhD in Computational and Data Science and Engineering and has blended academic research with industry experience at companies like Visiology and Beiersdorf, building dialogue systems and automated trend-extraction models. Her work spans core NLP research, practical ML for time-series and production analytics, and Russian-language–specific language technology challenges. Daryna has a track record of moving research into applied settings—designing prompts and modules for BI platforms and collaborating across universities and research institutes. Based in Munich, she combines rigorous quantitative training from MIPT and Skolkovo with hands-on implementation skills dating back to C++ development and computational geometry. Colleagues describe her as a pragmatic researcher who bridges theoretical advances in language tech with real-world product needs.
9 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Computational and Data Science and Engineering, Doctor of Philosophy - PhD, Computational and Data Science and Engineering at Skolkovo Institute of Science and Technology
High School, Information Technology, High School, Information Technology at Physical and Mathematical Gymnasium 28, Zaporozye
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Innopolis University
Master's degree, Data Science, Master's degree, Data Science at Moscow Institute of Physics and Technology (State University) (MIPT)
Bachelor's degree, System Analysis and Applied Statistics, Bachelor's degree, System Analysis and Applied Statistics at Taras Shevchenko National University of Kyiv
English, Russian, Ukrainian, German