Markus Meier

About

I did my PhD in bioinformatics, where I worked on statisical models in protein domain prediction and DNA motif discovery. Currently, I work as a Research Engineer for Artificial Intelligence at Magazino GmbH, improving multi-robot coordination and improving code stability with unit/integration tests. Previously, I was Software Engineer and Data Scientist at Sulzer GmbH, where I configured and evaluated different Big Data pipelines in the Hadoop environment. Competencies: data science, machine learning, deep learning, Python/C++

Experience

• Google (7 yrs 1 mo)
  • Staff Software Engineer
    Nov 2023 - Present · 2 yrs 8 mos

  • Senior Software Engineer
    Oct 2021 - Nov 2023 · 2 yrs 2 mos

  • Software Engineer
    Jun 2019 - Oct 2021 · 2 yrs 5 mos

• AI Research Engineer / Robot Software Developer at Magazino GmbH
  May 2018 - Dec 2018 · 8 mos

  - Improving multi-robot coordination - Increasing code stability with unit and integration tests

• Software Developer / Data Scientist at Sulzer GmbH
  Sep 2017 - Feb 2018 · 6 mos

  - Configured and evaluated Big Data pipelines in the Hadoop environment for customers

• Max Planck Institute for Biophysical Chemistry (Göttingen Area, Germany)
  • Postdoctoral Researcher
    Jan 2017 - Aug 2017 · 8 mos

    - Implemented "PEnG motif": Quick and sensitive search of statistically over-represented motifs in DNA sequences

  • Scientific Assistant, Ph.D. student
    Aug 2014 - Dec 2016 · 2 yrs 5 mos

    - Implemented "Pdom": Decomposing the whole protein sequence space into domains - Implemented Unidom: A webserver to query and visualize the results of Pdom

• Scientific Assistant, Ph.D. student at Ludwig-Maximilians Universität München
  Jul 2012 - Jul 2014 · 2 yrs 1 mo

  - Maintained and further developed HHsuite: A suite for remote protein homology detection