Dimitrij Schulz

About

Dimitrij Schulz is a Master’s student in Computer Science at TU Berlin and a working student at the Weizenbaum Institute. He supports a research group in planning and conducting an NLP-focused research project, especially through Python-based programming, data collection and annotation workflows, preprocessing and cleaning of weakly structured text corpora, and the application, optimization, and evaluation of language models for automated text classification (including NER, entity linking, targeted sentiment analysis, and regard classification).

Previously, he completed his Bachelor’s degree in Computer Science at TU Berlin. During his studies, he worked as a Python working student at BAM (Federal Institute for Materials Research and Testing), where he developed data processing and automation workflows and contributed to machine learning-based image analysis. He is currently writing his Master’s thesis in the IBS group at BIFOLD on fNIRS signal analysis and deep learning.

His main interests are applied machine learning and robust data-driven methods for real-world research settings.

Project: Polarizing-Knowledge