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)