Vanessa Frohn

Vanessa Frohn is a Scientific Researcher and doctoral candidate at the Institute for Technologies and Management of Digital Transformation at the University of Wuppertal, where she has been affiliated since April 2025. Her work focuses on advanced data analysis techniques within the domains of machine learning, deep learning, and large language models.

Education:

• Bachelor of Science in Physics, Ruhr University Bochum
• Master of Science in Astrophysics, University of Bonn

Her research journey began in astrophysics, where she specialized in the analysis and evaluation of radio astronomical data using algorithms based on probability distributions. This strong quantitative foundation has informed her current interdisciplinary work in digital transformation and artificial intelligence.

Her research integrates methodologies from data science and machine learning to address complex challenges in digital systems. Although no publications are listed, her focus areas suggest contributions in algorithmic development, probabilistic inference, and scalable AI models.

Scientific Awards:

Vanessa Frohn is actively engaged in her doctoral research but there is no public information available about advising students or securing research grants at this time. She is based in office FZ.00.01 and can be reached via email or phone as listed. There is no mention of lab or team leadership, though her work is likely integrated within the broader research activities of the Institute for Technologies and Management of Digital Transformation.