Timo Schick

Timo Schick

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Resume

Education

2018 - Current
PhD student, Computer Science, Center for Information and Language Processing, LMU Munich
Research Areas: Natural Language Processing, Representation Learning, Low-Resource Settings
Supervisor: Prof. Dr. Hinrich Schütze
2015 - 2017
M.Sc., Computer Science, Technische Universität Dresden, final mark: very good (1.0)
Thesis: Transition-Based Generation from Abstract Meaning Representations, mark: very good (1.0)
Supervisor: Prof. Dr. Heiko Vogler
2012 - 2015
B.Sc., Computer Science, Technische Universität Dresden, final mark: very good (1.1)
Thesis: Hybrid Membrane-Quantum Computing, mark: very good (1.0)
Supervisor: Prof. Dr. Franz Baader

Work Experience

2020 - Current
Academic Staff, LMU Munich
Research on Few-Shot Learning approaches for Natural Language Processing at the Center for Information and Language Processing (CIS)
2017 - 2020
Data Scientist, Sulzer GmbH
Implementation of machine learning and NLP algorithms for various projects, setting up and leading a team of four software developers and machine learning engineers
2016 - 2017
Research Assistant, Technische Universität Dresden
Research on Abstract Meaning Representations and their application for machine translation

Teaching Experience

2013 - 2017
Teaching Assistant, Technische Universität Dresden
Linear Algebra (2013 – 2014), Computer Networks (2016), Algorithms and Data Structures (2016 – 2017)

Scholarships

2012 - 2017
Scholarship from the “Studienstiftung des Deutschen Volkes”
(German Academic Scholarship Foundation)

Awards

2018
Lohrmann Medal, Technische Universität Dresden
Award for the best Master’s graduate of the Faculty of Computer Science, Technische Universität Dresden
2016
Bachelor’s Award, Technische Universität Dresden
Award for the best Bachelor’s graduate of the Faculty of Computer Science, Technische Universität Dresden