Curriculum Vitae

Experience

IBM Research Europe

Research Scientist

  • Technical co-lead for IBM Research’s activities on deep learning for planetary observations
  • Leading research activities on pretraining and scaling multi-modal deep learning models for Earth observation
  • Contributing to the development of deep learning models for weather and climate assessments and quantum optimization algorithms
  March 2025 - ongoing
  Zurich (Switzerland)


Postdoctoral Researcher

  • Leading research activities on pretraining and scaling multi-modal deep learning models for Earth observation
  • Contributing to the development of deep learning models for weather and climate assessments
  • Deep Learning for Quantum Optimization Algorithms (voluntary IBM internal project)
  January 2024 - February 2025
  Zurich (Switzerland)


Visiting Researcher

  • Research on self-supervised deep learning for Earth observation
  • Domain Adaptation Techniques for the Detection of Natural Hazards
  • All work as part of voluntary projects during PhD journey
  October 2022 - December 2023
  Zurich (Switzerland)


Karlsruhe Institute of Technology (KIT)

Research Associate & PhD Candidate in Machine Learning & Information Systems

  • Research on applied machine learning and deep learning.
  • Teaching of ”Artificial Intelligence in Service Systems: Applications in Computer Vision”
  • Thesis: “Data-Centric Artificial Intelligence: Foundations and Methods for Deep Learning” (summa cum laude)
  October 2020 - December 2023
  Karlsruhe (Germany)


Several Undergrad-Internships in Industry

Formula E (Porsche Motorsports)

  • Development of AI-based Applications for Formula E Performance Optimization

Quant Finance Consulting (d-fine)

  • Natural Language Processing in S&P500 Business Reports

Energy (EnBW AG)

  • Natural Language Processing to Categorize Customer Interactions
  Sept 2016 - January 2020
  Multiple locations (Germany)


Research & Teaching Assistant Positions

Karlsruhe Institute of Technology (KIT)

  • Teaching Assistant for Operations Research and Statistics
  • Student Research Assistant on Machine Learning and Reinforcement Learning
  April 2017 - February 2019
  Karlsruhe (Germany)




Education

Karlsruhe Institute of Technology (KIT)

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

  • M.Sc. thesis on combining deep learning with mathematical optimization (highest grade)
  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” (highest grade)
  October 2014 - April 2018
  Karlsruhe (Germany)




Affiliations

ETH Zurich

Affiliated Research Member at D-MTEC

  • Research on emotion dynamics on social media
  October 2020 - October 2021
  Zurich (Switzerland)