I am an experienced algorithm engineer with a background in theoretical computer science. I have a knack for tackling complex, especially NP-hard, problems by fusing theoretical rigor with practical implementation. My work has been recognized with best paper (CIAC, ALENEX) and student awards.

• Combinatorial Optimization: Proficient in solving NP-hard problems to optimality using techniques like Mixed Integer Programming, Constraint Programming, custom branch-and-bound algorithms, SAT-solvers, and Second Order Cone Programming.
• Approximation & Meta-heuristics: Skilled in finding near-optimal solutions via approximation algorithms, meta-heuristics, and LNS-variants.
• Algorithmic Foundations: Strong background in theoretical computer science, with a comprehensive understanding of algorithmic concepts and their practical applications, such as complexity, approximation, and graph theory.
• Programming & Performance: Adept in writing maintainable Python and C++ code for complex algorithms, with expertise in performance tuning and modularization. Check out my repositories for examples.
• Data Analysis & Visualization: Capable of managing, evaluating, and quality-checking complex data, as well as visualizing data sets for insights and decision-making. Refer to my dissertation for exemplary empirical evaluations.
• Machine Learning: Familiar with machine learning techniques and have applied them successfully in research projects. Eager to explore their potential to augment classical algorithms, although this is neither a primary focus nor an area of expertise.

• Theory-Practice Bridge: Skillful in bridging the gap between theoretical computer science and practical implementation, highlighted by interdisciplinary collaborations and consultancy.
• Interdisciplinary Collaboration: Extensive involvement in projects across diverse fields such as robotics, bioinformatics, automotive, and satellite management.
• Creativity & Curiosity: Demonstrated curiosity and creativity in learning and combining new techniques, as evidenced by the diverse techniques used in my dissertation and the variety of projects undertaken.

• Teaching & Presentation: Proficient in teaching and presenting complex topics, as proven by the positive evaluation of my lecture on algorithm engineering and the popularity of my online material.
• Project Management: Experienced in managing multiple projects and student teams concurrently, as evidenced by the number of successfully completed projects.

🤝 Let's Connect!

I am open to research stays and collaborative opportunities to broaden my expertise and contribute to groundbreaking research. Let's work together to solve challenging problems and make a lasting impact.