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

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)

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

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

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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

• M.Sc. thesis on combining deep learning with mathematical optimization (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” (highest grade)

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Affiliations

ETH Zurich

Affiliated Research Member at D-MTEC

• Research on emotion dynamics on social media

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