
Dr. Philipp Leube
Fähigkeiten und Kenntnisse
Werdegang
Berufserfahrung von Philipp Leube
- Current 4 years and 5 months, since Feb 2022
Data Scientist (R&D)
TRUMPF GmbH + Co. KG
- Developing novel solutions for integrating AI into machines and factories
- 8 years, Mar 2014 - Feb 2022
Consultant
BoSS Consult GmbH
- Project manager of a variety of projects - Building conceptual, physical and data-driven (ML) models to adress environmental and industrial questions - Developed and implemented data-driven tools for modeling pre-and postprocessing and deep system understanding - Established internal QA and workflow standards for modeling and data analysis - Strategic business development for new modeling applications and approaches - Project acquisition - Networking and presentations on conferences and workshops
- 3 years and 11 months, Oct 2010 - Aug 2014
Project Engineer (Harare)
Ingenieure ohne Grenzen e.V.
- Designed and implemented a sustainable water supply solution for a local school in Harare - Acquired a follow-up project to build a school complex in the outskirts of Harare - Led the projects warm-up phase including local workshops to identify the stakeholders needs
- 5 years and 2 months, Jan 2009 - Feb 2014
Research Associate
Universität Stuttgart
- Conducted a DFG research project - Member of the interdisciplinary Graduate School Simulation Technology (SimTech) - Coordinated an international student exchange program.
- 2 years and 8 months, Sep 2005 - Apr 2008
Student Assistant
Institute for Modelling Hydraulic and Environmental Systems
- Conducted experiments - Collected, prepared, analyzed and assessed data
- 5 months, Nov 2006 - Mar 2007
Assistant to the project manager (Algier)
Emscher Wassertechnik
- Prepared and conducted training on flood risk simulations - Managed the local project office
Ausbildung von Philipp Leube
- 11 months, Sep 2011 - Jul 2012
Stochastic Modeling
Polytechnic University of Catalonia
- First time implementation of particle-based tracking methods to investigate transport kinetics in dual-porosity media
- 4 years and 10 months, Jan 2009 - Oct 2013
Stochastic Modeling
Stuttgart Research Centre for Simulation Technology, Stuttgart University
- Developed novel tools for analyzing and evaluating data compression and model reduction techniques (joining the fields of statistics, machine learning, signal processing and information theory) - Delivered the proof that a combined reduction of data and the data generating model by means of integral transformations has the highest degree of efficiency - Published my results in international peer-reviewed journals
- 5 years and 2 months, Oct 2003 - Nov 2008
Environmental Engineering
Universität Stuttgart
- numerical methods, physical modeling, thermodynamics
Sprachen
German
C2 (Verhandlungssicher / Muttersprachlich)
English
C1 (Fließend)
French
B1-B2 (Gute Kenntnisse)
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