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Lead Research Scientist

IBM Research Europe

Technical lead for multimodal generative modeling focusing on pretraining and scaling; co-lead for IBM Research activities on deep learning for planetary observations.

• Technical lead for multimodal generative modeling focusing on pretraining and scaling, co-lead for IBM Research's activities on deep learning for planetary observations
• Co-leading efforts at the intersection of quantum graph optimization and deep learning
• Contributing to the development of deep learning models for weather and climate assessments

Research Scientist

IBM Research Europe

Pretraining and scaling multi-modal deep learning models for Earth observation.

• 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

IBM Research Europe

Led research on pretraining and scaling multi-modal deep learning models for Earth observation.

• Pretraining and scaling multi-modal deep learning models
• Deep learning for weather and climate assessments
• Deep Learning for Quantum Optimization Algorithms

Visiting Researcher

IBM Research Europe

Research on self-supervised deep learning for Earth observation and domain adaptation techniques.

• Self-supervised deep learning for Earth observation
• Domain adaptation for natural hazard detection
• Voluntary research projects during PhD

Research Associate & PhD Candidate

Karlsruhe Institute of Technology (KIT)

Research on applied machine learning and deep learning with focus on data-centric AI.

• Teaching: Artificial Intelligence in Service Systems
• Ph.D. thesis on Data-Centric AI (summa cum laude)
• Published 15+ papers at top conferences

Research & Teaching Assistant

Karlsruhe Institute of Technology (KIT)

Teaching assistant for Operations Research and Statistics; student research on ML and RL.

• Teaching Assistant for Operations Research and Statistics
• Student Research Assistant on Machine Learning and Reinforcement Learning

Various Positions

Industry Internships

Multiple internships in Formula E, Quant Finance, and Energy sectors.

• Porsche Motorsports: AI for Formula E performance optimization
• d-fine: NLP in S&P 500 business reports
• EnBW AG: NLP for customer interaction categorization

Ph.D.

Karlsruhe Institute of Technology (KIT)

• Data-Centric Artificial Intelligence
• Deep Learning
• Machine Learning Systems

Master's Thesis

ETH Zürich

• Applied Prescriptive Analytics
• Machine Learning
• Mathematical Optimization

Visiting Student (M.Sc.)

Instituto Superior Técnico

• Multivariate Statistical Methods
• Information Processing and Retrieval
• Decision Support Models

M.Sc.

Karlsruhe Institute of Technology (KIT)

• Machine Learning
• Stochastic Optimization
• Recommender Systems

B.Sc.

Karlsruhe Institute of Technology (KIT)

• Reinforcement Learning
• Operations Research
• Statistics