PeopleofSuperintelligence

Researcher

Marco Laumanns

Marco Laumanns is a researcher whose work connects search algorithms with transport optimization. He coauthored PISA in 2003 and later published work on railway timetabling and public-transport routing with IBM Research. As of October 2026, he is Head of Product Engineering at ZF Digital Solutions.

Now at
ZF Digital Solutions
Born
1973

Years link to their sources.

Timeline

  1. 2003

    PISA interface for search algorithms

    In 2003, he coauthors PISA with Stefan Bleuler, Lothar Thiele, and Eckart Zitzler. PISA provides a platform- and programming-language-independent interface for search algorithms.

  2. 2013

    Hierarchical railway timetabling

    In 2013, he coauthors an iterative method that uses train hierarchies to solve large periodic railway timetabling problems. It adds train groups in steps while holding earlier groups fixed within specified time intervals.

  3. 2014

    Shortest path with alternatives

    In 2014, he coauthors the Shortest Path with Alternatives policy for public-transport journeys. It gives travelers a list of transport options at each stop, from which they choose while waiting.

  4. 2018

    Periodic railway timetable planning

    In 2018, he coauthors a periodic railway timetabling method that speeds automatic planning by solving a sequence of smaller subproblems.

  5. As of October 2026

    Head of Product Engineering

    As of October 2026, he is Head of Product Engineering at ZF Digital Solutions. ZF’s SCALAR is a next-generation fleet management platform.

  1. Google had the most people shaping AI every year from 2014 to 2025Our estimates of which organizations employed the most people shaping AI each year from 1955 to 2025, tracing the shift from university labs to companies.
  2. The United States employs an estimated 48% of people shaping AIWe estimate where the people shaping AI work today, how universities, companies and research institutes split across countries, and how country shares have changed since the 1960s.
  3. 43% of living people shaping AI work outside their country of birthWe estimate that 43% of living people shaping AI work outside their country of birth (520 of 1,198 people with known birth and employment countries).
  4. More people shaping AI studied at Massachusetts Institute of Technology than at any other institutionWe estimate where the people shaping AI studied and where their careers led. Massachusetts Institute of Technology leads with 467 former students, including 291 recorded doctorates.

Sources and credits

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  1. ETH - SOP - PISA sop.tik.ee.ethz.ch. Checked 21 October 2026.
  2. Hierarchical decomposition methods for periodic railway timetabling problems for Transportation Research Record - IBM Research research.ibm.com. Checked 21 October 2026.
  3. Shortest path with alternatives for uniform arrival times: Algorithms and experiments for ESA 2014 - IBM Research research.ibm.com. Checked 21 October 2026.
  4. Periodic railway timetabling with sequential decomposition in the PESP model for J. Rail Transp. Plan. Manage. - IBM Research research.ibm.com. Checked 21 October 2026.
  5. ZF SCALAR streamlines identity and UX with Auth0 | Auth0 auth0.com. Checked 21 October 2026.