Integrative Transcriptomics

Prof. Dr. math. Kay Katja Nieselt

Current position

Head of the Integrative Transcriptomics research group
Interfaculty Institute for Bioinformatics and Medical Informatics (IBMI)
Faculty of Science, University of Tübingen
Sand 14
D-72076 Tübingen
Phone: +49-7071-29 78981
E-mail: kay.nieselt[at]uni-tuebingen.de

Research topics

  • Development of algorithms and tools for the analysis and visualization of large-scale expression data
  • Integrative analysis of large-scale genomic and transcriptomic data
  • Pathogenomics of bacteria
  • Efficient methods for the computation and visualisation of pan-genomes
  • Prediction and characterization of non-coding RNAs in prokaryotes
  • Computational paleogenomics
  • Applying and developing machine learning methods for large-scale omics data sets

 

Academic Career

Since 07/2021
Full Professor

at the University of Tübingen

2014-2021
Adjunct Professor

at the Department of Computer Science, University of Tübingen

May 2014
Habilitation in Bioinformatics, University of Tübingen

in Bioinformatics at the University of Tübingen

Since 2002
Head of Integrative Transcriptomics group

at the University of Tübingen

1999 - 2001
Group leader Bioinformatics and Data management, Molecular Cell biology

at the Max Planck Institute for Biophysical Chemistry in Göttingen

1997
Postdoctoral Fellow

at the Zoological Institute at the University of Munich

1995 - 1996
Feodor-Lynen Fellow

at the University of Auckland in New Zealand

1992 - 1995
Postdoctoral Fellow

at the Max Planck Institute for Biophysical Chemistry in Göttingen

1992
Ph.D. Thesis

at the Max Planck Institute for Biophysical Chemistry in Göttingen

Principal investigator (PI) projects and administrative functions

Since 04/2024
Member

 of the DFG Review Board 2.11 “Fundamentals of Biology and Medicine”

Since 07/2022
Faculty Member

of the International Max Planck Research School (IMPRS) 'From Molecules to Organisms'

Since 07/2021
Associated Faculty

of the IMPRS for Intelligent Systems

Since 04/2021
Dean of Studies

of the Faculty of Science at the University of Tübingen

Since 2019
Member of the IBMI Board

(Institute of Bioinformatics and Medical Informatics)

10/2019 - 07/2021
Member of the senate

of the University of Tübingen

Since 06/2019
PI in the CRC261 “Cellular Mechanisms of Antibiotic Action and Production”

in the CRC261 “Cellular Mechanisms of Antibiotic Action and Production”

Since 01/2019
PI

in the Cluster of Excellence “Machine Learning in the Sciences”

Since 01/2019
PI

in the Cluster of Excellence “Controlling Microbes to Fight Infections”

10/2016 - 09/2020
Dean of Studies of the Department of Computer Science

of the Department of Computer Science at the University of Tübingen

Since 2015
Member of the Board of the Quantitative Biology Center Tübingen (QBiC)

of the Quantitative Biology Center Tübingen (QBiC)

2014 - 2019
Managing director of the Center for Bioinformatics Tübingen

of the Center for Bioinformatics Tübingen

2008 - 2011
PI in the DFG project

"VAExpress: Visual Analytics for Large and Heterogeneous Life Science Data with emphasis on expression data" as part of the DFG Focus Program 1335 "Scalable Visual Analytics"

2011 - 2013
PI in the AiF project

"Implementation of applied transcriptome analysis as innovative and real-world platform technology for individualized questions in medicine and science – NewPASSAGE"; Part: Developing efficient and fast algorithms for data evaluation

Number of publications (in refereed journals etc.):

Around 110, see here for Google scholar profile