As a theoretical computer scientist, Nicole Schweikardt is interested in the efficient processing of extremely large amounts of data. Such large amounts of data exist in many areas of application, for example as a collection of scientific results, as stock market tickers or in the form of sensor data. However, the data is often only available in a less structured form and not in an editable database. Not least due to her mathematical training, Schweikardt was able to achieve important successes with regard to query optimisation and complexity theory for the processing of large databases. Nicole Schweikardt is an assistant professor (Juniorprofessor) and head of an Emmy Noether Junior Research Group. She is also a member of the Young Academy at the Berlin-Brandenburg Academy of Sciences and Humanities.
Further information can be found on the website of the Deutschen Forschungsgemeinschaft (DFG, German Research Foundation).
Heinz Maier-Leibnitz Award goes to computer scientist at Humboldt-Universit?t
As a theoretical computer scientist, Nicole Schweikardt is interested in the efficient processing of extremely large amounts of data.