Details

Start of the project: 01.02.2021

PhD Project finished: 10.07.2024

Title of the project: Machine Learning Approaches for Off-Target and Bioactivity Predictions

Research topic of the student:  The aim of the doctoral project is the establishment of novel paths for the creation of predictive models in the field of toxicity prediction. The results can address privacy and governance challenges and provide controlled, indirect access to large and comprehensive datasets for the development of ML & DL algorithms. 

Internship abroad: "Positive Data Bias – A comparison of Machine Learning Models from publicly available and industry datasets", 01.10.2023 - 31.01.2024

Host lab: BAYER AG, Berlin, Germany