Hendrik Schuff

Angestellt, Postdoc, UKP lab, TU Darmstadt

Stuttgart, Deutschland

Fähigkeiten und Kenntnisse

Machine Learning
Deep Learning
Natural Language Processing (NLP)
Human Computer Interaction
Reinforcement Learning

Werdegang

Berufserfahrung von Hendrik Schuff

  • Bis heute 1 Jahr und 1 Monat, seit Juni 2023

    Postdoc

    UKP lab, TU Darmstadt

  • 3 Jahre und 1 Monat, Mai 2020 - Mai 2023

    PhD Student

    Bosch Center for Artificial Intelligence

    - Explainable AI - Machine Learning - Natural Language Processing

  • 6 Monate, Okt. 2019 - März 2020

    Master Thesis

    Bosch Center for Artificial Intelligence

    - Natural Language Processing - Machine learning

  • 1 Jahr, Okt. 2018 - Sep. 2019

    Student Assistant at the Institute for Natural Language Processing

    University of Stuttgart

    - Machine learning including deep learning - Development and evaluation of novel machine learning models

  • 4 Monate, Nov. 2017 - Feb. 2018

    Student Assistant at the Institute for Visualization and Interactive Systems

    University of Stuttgart

    - Human subject experiment planning and evaluation - Co-authored multiple publications - Software development

  • 3 Monate, Juli 2017 - Sep. 2017

    Intern at the Intelligent Interactive Systems Group

    University of Cambridge

    - Research internship in the Intelligent Interactive Systems group at the University of Cambridge

  • 2 Jahre und 6 Monate, Apr. 2015 - Sep. 2017

    Student Assistant at the Institute for Visualization and Interactive Systems

    University of Stuttgart

    - Human subject experiment planning and evaluation - Co-authored multiple publications - Software development

  • 1 Jahr und 3 Monate, Mai 2013 - Juli 2014

    Intern and Student Assistant

    Fraunhofer IESE

    - Mobile application development

  • 1 Monat, März 2014 - März 2014

    Intern

    PhonicScore GmbH

    - Software development - Mobile application development - Visual design

Ausbildung von Hendrik Schuff

  • 1 Jahr und 6 Monate, Okt. 2017 - März 2019

    Compter Science

    University of Stuttgart

    - Focus on machine learning and natural language processing - Projects: Deep reinforcement learning with a real robot, policy distillation, transfer learning and model compression and adversarial learning - Lectures outside computer science (Stochastic Processes, Psycholinguistics, Chaos Theory)

  • 3 Jahre, Okt. 2014 - Sep. 2017

    Media Computer Science

    University of Stuttgart

    - Bachelor thesis: ”Leveraging Electromyography to Enhance Musician-Instrument Interaction Using Domain-Specific Motions”. - Projects include fine-grained emotion detection and the construction of an ambient weather forecast system.

Sprachen

  • Englisch

    Fließend

  • Deutsch

    Muttersprache

  • Französisch

    Gut

  • Spanisch

    Grundlagen

21 Mio. XING Mitglieder, von A bis Z