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Peter Gedeck is a Lecturer at the School of Data Science. His research interests include cheminformatics, research and development, life sciences, and molecular modeling. He has expertise in the intersection of data science and the pharmaceutical industry.
Peter is also the Research Informatics Senior Scientist at Collaborative Drug Discovery, where he develops useful, production quality drug discovery software and creates novel cheminformatics approaches for drug discovery.
He has over 50 peer-reviewed publications and co-authored several books:
- Practical Statistics for Data Scientists
- Data Mining for Business Analytics: Concepts, Techniques, and Applications
- Machine Learning for Business Analytics (R and Python versions)
- Modern Statistics: A Computer Based Approach with Python
- Industrial Statistics: A Computer Based Approach with Python
- Statistics for Data Science and Analytics
Peter Gedeck holds a Ph.D. in Chemistry from FAU Erlangen Nürnberg.
Education
- Ph.D., Chemistry, FAU Erlangen Nürnberg
Data Science Domains
Analytics, Systems
Areas of Practice
Cheminformatics, Bioinformatics, Drug Discovery, Biomedicine
Methodologies
Prediction Modeling, Cheminformatics