Curriculum Vitae

Experience

IBM Research Europe

Postdoctoral Researcher

  • Pretraining, scaling, and finetuning of foundation models for weather and geospatial
  • Part of research collaboration between IBM Research and NASA
  January 2024 - ongoing
  Rüschlikon (Switzerland)


Visiting Researcher

  • Geospatial foundation models for climate impact
  • Generalized zero-shot semantic segmentation
  • Part of research collaboration between IBM Research and NASA
  October 2022 - December 2023
  Rüschlikon (Switzerland)


Karlsruhe Institute of Technology (KIT)

PhD Candidate in Machine Learning & Information Systems

Research on applied machine learning and deep learning.

  • Thesis: “Data-Centric Artificial Intelligence: Foundations and Methods for Deep Learning” (summa cum laude)
  October 2020 - December 2023
  Karlsruhe (Germany)


Dr. Ing. h.c. F. Porsche AG - Motorsport Department

Machine Learning and Information System Intern

  • Image classification (in productive use): Application and optimization of an open source optical character recognition model for classifying Formula E free TV streams.
  • Speech recognition (in productive use): Speech-to-text application for audio streams of Formula E drivers
  October 2019 - January 2020
  Weissach (Germany)


d-fine

Visiting Consultant, Quantitative Finance

  • Named entity recognition in S&P500 business reports
  • Support of the head project management in a credit risk platform project
  April 2019 - May 2019
  Frankfurt (Germany)


Karlsruhe Institute of Technology (KIT)

Several Positions as Teaching Assistant and Graduate Research Assistent

  • Teaching assistant for mathematical optimization and advanced statistics
  • Research on the efficient implementation, parameterization and scaling of reinforcement learning in manufacturing
  April 2017 - February 2019
  Karlsruhe (Germany)


EnBW AG

Analytical Process Management: Intern and Working Student

  • Natural Language Processing: Unsupervised learning to categorize textual customer interactions
  • Process Mining: Statistical analysis of incoming customer interaction
  September 2016 - Juli 2017
  Karlsruhe (Germany)




Education

Karlsruhe Institute of Technology (KIT)

Doctor (Ph.D.) in Applied Deep Learning

Ph.D. thesis on “Data-Centric Artificial Intelligence: Foundations and Methods for Deep Learning” (summa cum laude)

  October 2020 - March 2024
  Karlsruhe (Germany)


ETH Zurich

Master’s Thesis on Machine Learning and Optimization

  • Supervisor: Prof. Feuerriegel
  • Chair: Management Information Systems, D-MTEC
  April 2020 - October 2020
  Zurich (Switzerland)


Karlsruhe Institute of Technology (KIT)

Master of Science

  • Machine learning
  • Stochastic optimization
  • Recommender systems

Master thesis at ETH Zurich: “Applied prescriptive analytics: Combining machine learning and mathematical optimization” (1.0)

  April 2018 - October 2020
  Karlsruhe (Germany)


Instituto Superior Técnico

Visiting Student (Master of Science) - Information Systems and Computer Engineering

  • Multivariate statistical methods
  • Information processing and retrieval
  • Decision support models
  September 2018 - January 2019
  Lisbon (Portugal)


Karlsruhe Institute of Technology (KIT)

Bachelor of Science

Thesis: “Reinforcement learning based optimization of stochastic production processes for an opportunistic maintenance system” (1.0)

  October 2014 - April 2018
  Karlsruhe (Germany)




Affiliations

ETH Zurich

Affiliated Research Member in Management Information Systems

Research on emotion dynamics

  • Supervisor: Prof. Feuerriegel
  • Chair: Management Information Systems, D-MTEC
  October 2020 - October 2021
  Zurich (Switzerland)