Paul Pawletta

Head of Research And Development at Holocene
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Location
Berlin, Berlin, Germany, DE
Languages
  • German Native or bilingual proficiency
  • English Full professional proficiency

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Experience

    • United States
    • Environmental Services
    • 1 - 100 Employee
    • Head of Research And Development
      • Apr 2023 - Present

    • Head of Technology
      • Feb 2022 - Present

    • United States
    • Appliances, Electrical, and Electronics Manufacturing
    • 1 - 100 Employee
    • Entrepreneur In Residence
      • Jan 2022 - Mar 2022
    • United States
    • Civic and Social Organizations
    • Software Developer
      • Aug 2020 - Dec 2021

      Working on the development for Charite’s Virtual Research Environment - a web platform to analyze research data inside the cloud. Responsible for automatizing medical imaging data pipelines and providing a Knowledge Graph web app for neuroscience data. Working on the development for Charite’s Virtual Research Environment - a web platform to analyze research data inside the cloud. Responsible for automatizing medical imaging data pipelines and providing a Knowledge Graph web app for neuroscience data.

    • Germany
    • Research
    • 400 - 500 Employee
    • Software Developer
      • Feb 2019 - Jul 2020

      Working within project DEMIS 2.0 - the German reporting and information system for infectious diseases. - Development of Web APIs using the FHIR data standard - Development of the desktop application used by German health offices Working within project DEMIS 2.0 - the German reporting and information system for infectious diseases. - Development of Web APIs using the FHIR data standard - Development of the desktop application used by German health offices

    • Germany
    • IT Services and IT Consulting
    • 100 - 200 Employee
    • Junior Solution Engineer
      • Jul 2017 - Jan 2019

      As member of the Smart Data Lab, I worked on: - text analytics pipelines for large text corpora to support OCR, document classification, NER and search - fullstack development of web applications to integrate the text analytics pipelines As member of the Smart Data Lab, I worked on: - text analytics pipelines for large text corpora to support OCR, document classification, NER and search - fullstack development of web applications to integrate the text analytics pipelines

    • Germany
    • IT Services and IT Consulting
    • 1 - 100 Employee
    • Data Science Trainee
      • Jun 2017 - Jul 2017

      Working on Proof of Concept recommendation algorithms for Human Resources. Working on Proof of Concept recommendation algorithms for Human Resources.

    • Germany
    • Research Services
    • 300 - 400 Employee
    • Research Assistant
      • Feb 2016 - Aug 2016

      I developed and implemented a Deep Neural Network in Python to classify Hand movements from EEG-Brain-Computer-Interface Data. The implemented Neural Network outperforms benchmark classifiers and extracts useful neurophysiological spatial EEG scalp patterns from the motor cortex. I developed and implemented a Deep Neural Network in Python to classify Hand movements from EEG-Brain-Computer-Interface Data. The implemented Neural Network outperforms benchmark classifiers and extracts useful neurophysiological spatial EEG scalp patterns from the motor cortex.

    • United States
    • Hospitals and Health Care
    • 1 - 100 Employee
    • Visiting Researcher
      • Apr 2015 - Oct 2015

      For my Master's thesis research, I worked in the Swartz Center for Computational Neuroscience at UC San Diego. I developed algorithms to improve source localization from electroencephalographic (EEG) data utilizing unsupervised learning algorithms and head models. My research stay was funded by the DAAD - FIT weltweit: International research in information technology. For my Master's thesis research, I worked in the Swartz Center for Computational Neuroscience at UC San Diego. I developed algorithms to improve source localization from electroencephalographic (EEG) data utilizing unsupervised learning algorithms and head models. My research stay was funded by the DAAD - FIT weltweit: International research in information technology.

    • Germany
    • Education Administration Programs
    • 700 & Above Employee
    • Research Assistant
      • Oct 2013 - Apr 2015

      I worked in the Machine Learning Group of TU Berlin. My lab research included the implementation and testing of unsupervised and supervised learning algorithms to improve classification performance of EEG and EMG data. I worked in the Machine Learning Group of TU Berlin. My lab research included the implementation and testing of unsupervised and supervised learning algorithms to improve classification performance of EEG and EMG data.

Education

  • Bernstein Center for Computational Neuroscience, Berlin
    Master of Science (MSc), Computational Neuroscience
    2013 - 2016
  • Universität zu Lübeck
    Bachelor of Science (BSc), Applied Mathematics in Medicine and Life Science

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