Humboldt-Universität zu Berlin - School of Business and Economics

Email: justin.hellermann@hu-berlin.de

Office hours: by appointment

Short-Bio

Justin Hellermann holds a M.Sc. Degree in Quantitative Finance from the University of Kiel. In his PhD, Justin Hellermann researches advanced generative models for time series data. As part of his thesis, he investigated the predictive performance of statistical models compared to recurrent neural networks in highly nonstationary environments.

In his senior position at a data science division of an electric utility company, he has gained significant experience in developing generative and predictive models to support business decisions and accelerate the energy transition.

 
Research Interests

Justin explores the potential of generative models for data augmentation, imputation, forecasting, and scenario generation. Additionally, he researches effective representations to leverage the benefits of generative models from image and language domains for the field of time series. He is particularly interested in exploring the nature of generative models and their behaviour, especially from a probabilistic perspective, to achieve reliable simulations for diverse conditions.