PhD defense by Christian Michelsen

Title: Biological Data Science - Ancient genomics, anesthesiology, epidemiology, and a bit in between

Abstract:

In recent years, methods such as next generation sequencing in genomics and the use of electronic records in the health care sector has dramatically increased the amount of data in the life sciences. In the field of ancient genomics, newer lab protocols, combined with strict precautions, now allow for the sequencing of ancient environmental DNA millions of years old. In health care, electronic records have allowed for the use of modern machine learning models due to the increased amount of collected data.

This has led to a need for new methods and tools to analyze and interpret this vast amount of information that seems to keep increasing in size in the coming years. This thesis focuses on the use cases and potential issues with applying modern statistical and data science related methods on biological data.