Gunnar Schulze

Experience

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  Universität Potsdam

  Jan 2012 - Jan 2013

  Research assistant bioinformatics

  Benchmarking of feature selection and machine learning methods on cancer gene expression data using ML packages in R. Generation of scripts for automated results reporting (markdown/html). Databasing with R/SQLite.

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  German Institute of Human Nutrition Potsdam-Rehbruecke

  Apr 2013 - Sept 2014

  Research assistant bioinformatics

  Analysis of quantitative trait maps and phenotypic data linked to type 2 diabetes research using the R statistical computing framework. Data integration and development of scripts for reproducible analysis in multiple projects. Statistical counselling and hypothesis testing in a highly interdisciplinary environment.

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  Universitetet i Bergen (UiB)

  Jan 2019 - now

  My research focused on integrating large public and in-house biological datasets in connection with machine learning and visualization techniques to model and predict epigenetic and gene expression changes in developing embryos. I also developed and implemented supervised and unsupervised methods for breakpoint and error detection in genome databases. End-to-end data processing of high throughput genomics datasets includingquality control, data manipulation, statistical analysis, clustering and visualization. Development of reproducible analysis pipelines in python/ R/ bash integrating specialised bioinformatics software tools. Statistical hypothesis testing and communication of results to experimental researchers.

  • PHD Fellow

    Nov 2014 - now

  • Bioinformatics researcher

    Jan 2019 - Feb 2019
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  Webstep

  Aug 2019 - Oct 2022

  Senior Consultant / Data scientist
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  Deloitte

  Oct 2022 - now

  Manager AI & Data