Immanuel Bayer

Head of Machine Learning at palaimon.io
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Contact Information
us****@****om
(386) 825-5501
Location
Berlin, Berlin, Germany, DE
Languages
  • English Professional working proficiency
  • German Native or bilingual proficiency

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Experience

    • Germany
    • IT Services and IT Consulting
    • 1 - 100 Employee
    • Head of Machine Learning
      • Aug 2018 - Present

      Artificial Intelligence & Machine Learning Solutions Artificial Intelligence & Machine Learning Solutions

    • Switzerland
    • Insurance
    • 700 & Above Employee
    • Tech Lead | Data Scientist
      • Mar 2017 - Jul 2018

    • Germany
    • Research Services
    • 700 & Above Employee
    • Research Assistant Machine Learning at Algorithmics Group
      • Apr 2013 - Mar 2017

      Research Focus: Link Prediction, Matrix Factorization and Recommender Systems. Research Focus: Link Prediction, Matrix Factorization and Recommender Systems.

    • United States
    • Software Development
    • 700 & Above Employee
    • Software Engineering Intern at Google Research
      • May 2015 - Aug 2015

      Derivation, Analysis, Implementation and Evaluation of new a Machine Learning Algorithm. My Intern Project lead to a research paper (first author, published at WWW2017). Derivation, Analysis, Implementation and Evaluation of new a Machine Learning Algorithm. My Intern Project lead to a research paper (first author, published at WWW2017).

    • United States
    • Software Development
    • 700 & Above Employee
    • Google Summer of Code Stipend
      • May 2012 - Aug 2012

      Accepted as GSOC contributing student to scikit-learn.org. Supervised by scikit-learn core developer Alexandre Gramfort. Optimizing sparse linear models using coordinate descent and strong rules. Accepted as GSOC contributing student to scikit-learn.org. Supervised by scikit-learn core developer Alexandre Gramfort. Optimizing sparse linear models using coordinate descent and strong rules.

    • Chemical Manufacturing
    • 700 & Above Employee
    • Research Intern at Complex Systems Modeling Group
      • Nov 2011 - Apr 2012

      Diploma thesis: Using Machine Learning Algorithms for In Vitro Drug Response Prediction: What Factors Influence the Predictability? Internship lead to a research paper (first author, published in PLOS ONE). Diploma thesis: Using Machine Learning Algorithms for In Vitro Drug Response Prediction: What Factors Influence the Predictability? Internship lead to a research paper (first author, published in PLOS ONE).

    • Chemical Manufacturing
    • 700 & Above Employee
    • Research Intern at Systems Biology & Computational Solutions Group
      • May 2011 - Aug 2011

      Analysis of biological data and predictive modelling using machine learning methods. Analysis of biological data and predictive modelling using machine learning methods.

Education

  • University of Konstanz
    Doctor of Philosophy - PhD, Computer Science, Machine Learning
    2013 - 2017
  • RWTH Aachen
    Diploma, Computational Engineering Science
    2006 - 2012
  • High School Urbana, Illinois, USA
    Exchange Year
    2003 - 2004

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