Hello, I'm Max.

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About Me

I'm a mathematics graduate student specializing in algorithms, discrete mathematics, and optimization. Currently pursuing a Master's degree at Technische Universität Berlin, I focus on mathematical modeling, algorithm design, and computational problem-solving.

My research interests lie at the intersection of theoretical mathematics and practical applications, particularly in optimization, scheduling algorithms, and combinatorial problems. I contribute to open-source projects and collaborate with research institutions to advance computational mathematics.

Experience

Mar 2024 - Ongoing

Student Research Assistant

Zuse Institute Berlin - Berlin

Key contributor to "Quantum Optimization Benchmarking Library – The Intractable Decathlon" project
Implemented and analyzed classical baselines for optimization algorithm benchmarking
Collaborated with IBM and international research partners
Participated in IBM internal workshop in Liverpool for future research planning

Jul 2020 - Ongoing

CEO

Alster Systems UG (haftungsbeschränkt) - Kaltenkirchen

Managing customer and employee relations
Front-End development of digital class register software for schools
Managing accounting and finance
Led integration process at multiple schools in Henstedt-Ulzburg region

Oct 2024 - Mar 2025

Research Assistant

National University of Singapore - Singapore

Developed and applied Optimal Decision Trees for modeling complex financial relationships
Applied optimization techniques in financial contexts
Presented preliminary results at MODAL Berlin Algorithmic Intelligence Workshop 2025

Education

Sep 2023 - Present

Master of Science in Mathematics

Technische Universität Berlin - Berlin

Specialization in Algorithms and Discrete Mathematics
Focus on Optimization Theory and Computational Methods

2020 - 2023

Bachelor of Science in Mathematics

Technische Universität Berlin - Berlin

Specialization in Algorithms and Discrete Mathematics
Bachelor Thesis: "Competitive Algorithms for Non-Clairvoyant Scheduling with Lossy Preemption" (Grade: 1.0)
Overall Grade: 1.8 (German grading system: 1.0 is highest)

2012 - 2020

Abitur (University Entrance Qualification)

Alstergymnasium Henstedt-Ulzburg - Henstedt-Ulzburg

Physics Profile
Overall Grade: 1.5

Publications & Research

Quantum Optimization Benchmarking Library – The Intractable Decathlon

Thorsten Koch, David E. Bernal Neira, Ying Chen, Giorgio Cortiana, Daniel J. Egger, Raoul Heese, Narendra N. Hegade, Alejandro Gomez Cadavid, Rhea Huang, Toshinari Itoko, Thomas Kleinert, Pedro Maciel Xavier, Naeimeh Mohseni, Jhon A. Montanez-Barrera, Koji Nakano, Giacomo Nannicini, Corey O'Meara, Justin Pauckert, Manuel Proissl, Anurag Ramesh, Maximilian Schicker, Noriaki Shimada, Mitsuharu Takeori, Victor Valls, David Van Bulck, Stefan Woerner, and Christa Zoufal

arXiv preprint, 2025

A comprehensive benchmarking library for optimization algorithms, creating a "decathlon" for optimization methods with realistic benchmarks on particularly hard combinatorial problems. The project involves systematic analysis and comparison of modern optimization methods across a broad collection of challenging problems, in collaboration with IBM and international research partners.

Preprint on arXiv GitHub Repository

Bachelor Thesis: Competitive Algorithms for Non-Clairvoyant Scheduling with Lossy Preemption

Maximilian Schicker

Technische Universität Berlin, 2023

Analysis and development of competitive algorithms for scheduling problems where job durations are unknown and preemption incurs cost. Thesis completed under the supervision of Prof. Dr. Max Klimm. Achieved grade 1.0.

Conferences & Workshops

MODAL Berlin Algorithmic Intelligence Workshop 2025

Zuse Institute Berlin, June 2025

Presented preliminary research results on Optimal Decision Trees in financial optimization. Engaged in scientific discussions leading to new ideas and potential collaborations.

Workshop Website

Quantum Optimization Working Group Meeting 2025

IBM & University of Liverpool, April 2025

Participated in IBM's internal workshop focused on developing new ideas for upcoming research projects in quantum optimization. Gained valuable insights into scientific collaboration and established new contacts in the research community.

CO@Work 2024 Summer School

Zuse Institute Berlin, Summer 2024

Intensive summer school on Combinatorial Optimization with over 40 lectures from renowned researchers from academia and industry. Additionally served as volunteer helper, including photography and participant group coordination during the industry excursion.

Summer School Website