Experience
IBM Research Europe
Research Scientist
- Technical co-lead for IBM Research’s activities on foundation models for planetary observations
- Leading research activities on pretraining and scaling multi-modal deep learning models for Earth observation
- Developing AI foundation models for weather and climate assessments collaborating with NASA
- Localized Wind Forecasting for Renewable Energy Production collaborating with MIT and ETH
- Leading technical collaborations with ESA and KIT
- Deep Learning for Quantum Optimization Algorithms (voluntary IBM internal project)
Postdoctoral Researcher
- Leading the Development of Large-Scale Multi-Modal AI for Sustainability Assessments (collaborating with ESA)
- Developing AI Foundation Models for Weather and Climate Impact Assessments (collaborating with NASA)
- Localized Wind Forecasting for Renewable Energy Production (collaborating with MIT and Shell)
- Deep Learning for Quantum Optimization Algorithms (voluntary IBM internal project)
Visiting Researcher
- Co-lead the Development of AI-based Systems and a Corresponding Data Platform for Understanding the Earth System (collaborating with NASA)
- Domain Adaptation Techniques for the Detection of Natural Hazards
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)
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
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
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)
ETH Zurich
Master’s Thesis on Machine Learning and Optimization
- Supervisor: Prof. Feuerriegel
- Chair: Management Information Systems, D-MTEC
M.Sc. thesis on “Applied prescriptive analytics” (highest grade)
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)
Instituto Superior Técnico
Visiting Student (Master of Science) - Information Systems and Computer Engineering
- Multivariate statistical methods
- Information processing and retrieval
- Decision support models
Karlsruhe Institute of Technology (KIT)
Bachelor of Science
Thesis: “Reinforcement learning based optimization of stochastic production processes for an opportunistic maintenance system” (1.0)
Affiliations
ETH Zurich
Affiliated Research Member in Management Information Systems
Research on emotion dynamics
- Supervisor: Prof. Feuerriegel
- Chair: Management Information Systems, D-MTEC