big data machine learning software development genomic data gene expression life sciences bioinformatics biomedical data in-memory technology rna-seq gene selection feature selection clustering/classification data integration association rule mining in-memory databases
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.
Examples of previous talks / appearances:
12th International Conference on Practical Applications in Computational Biology and Bioinformatics 2018
Präsentation der eigenen Forschungsarbeit: Framework für die Selektion aussagekräftiger Gene (im Kontext Clustering von Genexpressionsdaten) mithilfe externer Wissensdatenbanken.This talk is in: English
Women in Data Science 2017 - Satellite Event Berlin
Moderated Panel Discussion - ParticipantThis talk is in: English
Festival of Genomics 2016 - Session: Big medical data in precision medicine: challenges or opportunities?
Talk "Analyze Genomes: Modeling and Executing Genome Data Processing Pipelines"This talk is in: English
Talk "Mining and Processing of Unstructured Medical Data"
Grace Hopper Celebration of Women in Computing 2015
Speaker in Scientific Track: "Identifying Genetic Variants in Human Genome Data With In-Memory Technology"This talk is in: English
Ada Lovelace Festival 2015
Speaker: "Big Data in der Medizin"This talk is in: German
Global Health 2014
Tutorial "Applying In-Memory Technology to Genome Data Analysis"This talk is in: English
World Health Summit 2014
Demo of a tool for the prediction of drug responses in the scope of the keynote of Christoph Behrendt, SAP.This talk is in: English