Position: Research Assistant / PhD Student

Room no.: TU Dortmund University, C2-06-327

Telephone no.: +49 231 755 7957

Member of the group since: May 2019

University degree: M. Sc. Computer Science

Expertise: Bio- and Cheminformatics, Machine Learning, Data Science

Research projects: Since the experimental measurement of pKa values can be time-consuming and expensive, accurate and trustworthy prediction methods are of great interest. We develop an open source pKa prediction tool based on public data that can compete with commercial tools in both functionality and prediction quality.

Publications: