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mlschicker/README.md

Hi, I'm Max

I'm a mathematics graduate student at Technische Universität Berlin, specializing in algorithms, discrete mathematics, and optimization. My research sits at the intersection of theoretical mathematics and practical applications — from quantum optimization benchmarking to scheduling algorithms and combinatorial problems.

Berlin, Germany  |  ml.schicker@outlook.com  |  schicker.org

What I'm Working On

Education

Degree Institution Period
M.Sc. Mathematics TU Berlin Sep 2023 – present
B.Sc. Mathematics TU Berlin 2020 – 2023

Bachelor Thesis: "Competitive Algorithms for Non-Clairvoyant Scheduling with Lossy Preemption" — Grade 1.0 (highest), supervised by Prof. Dr. Max Klimm

Publications

Quantum Optimization Benchmarking Library – The Intractable Decathlon Thorsten Koch, David E. Bernal Neira, … Maximilian Schicker, … et al. arXiv preprint, 2025

arXiv GitHub

Recent Experience & Conferences

  • Research AssistantNational University of Singapore (Oct 2024 – Mar 2025): Optimal Decision Trees for financial optimization; presented at MODAL Berlin 2025
  • MODAL Berlin Algorithmic Intelligence Workshop 2025 — Zuse Institute Berlin, June 2025
  • Quantum Optimization Working Group Meeting 2025 — IBM & University of Liverpool, April 2025
  • CO@Work 2024 Summer School — Combinatorial Optimization, Zuse Institute Berlin

Connect

Website LinkedIn Google Scholar ORCID

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  1. ZIB-AOPT/QOBLIB ZIB-AOPT/QOBLIB Public

    A comprehensive benchmark suite for quantum optimization methods, featuring ten challenging problem classes with practical applications.

    Python 11 6

  2. mmghannam/tsp-tutorial mmghannam/tsp-tutorial Public

    Jupyter Notebook 1