Cindy Perscheid

PhD candidate/research assistant


Main focus: Analysis of Genomic Data

Website/blog: https://hpi.de/plattner/people/phd-students/cindy-perscheid.html

Languages: German, English

City: Potsdam

Country: Germany

Topics: software development, machine learning, genomic data, gene expression, bioinformatics, biomedical data, gene selection, clustering/classification, feature selection, rna-seq

Services: Talk, Consulting, Interview

  Willing to travel for an event.

  Willing to talk for nonprofit.

Bio:

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 - Participant

This 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"
Talk "Mining and Processing of Unstructured Medical Data"

This talk is in: English
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