Peter Gedeck

Peter Gedeck is a Lecturer at the School of Data Science, University of Virginia, where he contributes to data science education and research at the intersection of pharmaceuticals and computational methods.

• Ph.D. in Chemistry, FAU Erlangen-Nürnberg

His research focuses on applying data science to cheminformatics, molecular modeling, and drug discovery. With expertise in statistical modeling and machine learning, he works on advancing computational approaches in life sciences and industrial applications. His work bridges academic data science with real-world pharmaceutical R&D challenges.

His publications and books reflect a strong trend in practical data science, industrial statistics, and business analytics, often emphasizing implementation in Python and R. This demonstrates a consistent focus on accessible, computer-based statistical methods for modern scientific and business problems.

• No scientific awards listed in the provided text.

While specific advisees and grants are not mentioned, his co-authorship of multiple influential textbooks suggests academic mentorship and curriculum development. His dual role at Collaborative Drug Discovery indicates engagement in applied research and software development for drug discovery informatics.

He is involved in research through his industry role at Collaborative Drug Discovery, where he develops production-quality cheminformatics software and novel computational methods for pharmaceutical applications.