Visuelle Big Data Analytik in den Lebenswissenschaften

Nicolas Brich M.Sc.

Doktorand - Visuelle Big Data Analytik in den Lebenswissenschaften

Büro
Sand 14
72076 Tübingen
Raum C105 (Erdgeschoss)
 +49 7071 29-77047

nicolas.brichspam prevention@uni-tuebingen.de

Forschungsprojekte

Visual Analytics für multivariate biomedizinische Daten

ICUVA: Visualiserung und Analyse von intensivmedizinischen Zeitserien

visMOP: Visualisierung und Analyse von multi-Omic Daten

2020-heute
Wissenschaftlicher Mitarbeiter und Doktorand

bei Jun.-Prof. Dr. Michael Krone in der AG Visuelle Big Data Analytik der Universität Tübingen

2017-2019
Masterstudium Bioinformatik

an der Universität Tübingen

2014-2017
Masterstudium Biologie

an der Universität Tübingen

2011-2014
Bachelorstudium Biologie

an der Universität Tübingen

2011
Allgemeine Hochschulreife
1993
Geboren

Publikationen

2022 - 2023

2023

  • Brich, Nicolas;  Schacherer, Nadine; Hoene, Miriam; Weigert, Cora;  Lehmann, Rainer; Krone, Michael "visMOP – A Visual Analytics Approach for Multi-omics Pathways", Computer Graphics forum 27 June, 2023  DOI: 10.1111/cgf.14828

 

2022

  • Brich, Nicolas; Schulz, Christoph; Peter, Jörg; Klingert, Wilfried; Schenk, Martin; Weiskopf, Daniel; Krone, Michael "Visual Analytics of Multivariate Intensive Care Time Series Data", Computer Graphics forum 13 April, 2022 DOI: 10.1111/cgf.14498
  • Scheer J, Volkert A, Brich N, Weinert L, Santhanam N, Krone M, Ganslandt T, Boeker M, Nagel T "Visualization Techniques of Time-Oriented Data for the Comparison of Single Patients With Multiple Patients or Cohorts: Scoping Review" J Med Internet Res 2022;24(10):e38041   DOI: 10.2196/38041

2020 - 2021

2020

  • Brich, Nicolas; Schulz, Christoph; Peter, Jörg; Klingert, Wilfried; Schenk, Martin; Weiskopf, Daniel; Krone, Michael
    "Visual Analysis of Multivariate Intensive Care Surveillance Data",
    Eurographics Workshop on Visual Computing for Biology and Medicine: full and short paper proceedings: Tübingen, Germany, September 28 - October 1, 2020 
    DOI: 10.2312/vcbm.20201174

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