Humboldt-Universität zu Berlin - School of Business and Economics

Short-Bio

Vincent Gurgul is currently pursuing his PhD at the Chair of Information Systems. He completed his studies in Business Economics at the Humboldt University Berlin and the University of Warsaw, specialising in programming, data analysis, data visualisation, and deep learning. Vincent has gained professional experience in the field of data analytics both in academia and in industry. He has presented his research on Natural Language Processing and Time Series Analysis at international conferences and is proficient in programming languages such as Python, R, and C.

Research Interests

Vincent’s research interests lie at the intersection of data analytics, deep learning, and information systems. His focus lies on applying advanced neural network architectures to solve complex problems in the realm of linguistic analysis and financial forecasting. His work aims to harness the power of data for insightful decision-making, with a strong emphasis on real-world applications and industry relevance.

Areas of interest include:

- Natural Language Processing
- Time Series Analysis
- Probabilistic Forecasting
- Non-Euclidian Machine Learning