software development big data machine learning genomic data gene expression life sciences bioinformatics biomedical data in-memory technology gene selection data integration association rule mining in-memory databases clustering/classification feature selection rna-seq
Cindy Perscheid received her MSc degrees in IT-Systems Engineering in 2013 from the Hasso Plattner Institute (HPI) in Potsdam. Currently, she is research assistant at the Enterprise Platform and Integration Concepts chair of Prof. Dr. Hasso Plattner at the HPI. She has been working with in-memory technology for several years and started to work in the area of genome data analysis during her master’s degree. Her research interests in her doctoral studies focus on the application of machine learning techniques to genomic data sets in the context of in-memory databases. In 2016/2017, she paused her studies to take care of her newborn daughter.
Präsentation der eigenen Forschungsarbeit: Framework für die Selektion aussagekräftiger Gene (im Kontext Clustering von Genexpressionsdaten) mithilfe externer Wissensdatenbanken.Select LanguageEnglish
Moderated Panel Discussion - ParticipantSelect LanguageEnglish
Talk "Analyze Genomes: Modeling and Executing Genome Data Processing Pipelines"
Talk "Mining and Processing of Unstructured Medical Data"
Speaker in Scientific Track: "Identifying Genetic Variants in Human Genome Data With In-Memory Technology"Select LanguageEnglish
Speaker: "Big Data in der Medizin"Select LanguageGerman
Tutorial "Applying In-Memory Technology to Genome Data Analysis"Select LanguageEnglish
Demo of a tool for the prediction of drug responses in the scope of the keynote of Christoph Behrendt, SAP.Select LanguageEnglish