Department of Informatics – Computation and Economics Research Group


Timo Mennle

Timo Mennle
Timo Mennle
Ph.D. Student
Department of Informatics
University of Zurich
Binzmühlestrasse 14
CH-8050 Zürich
Room BIN 2.A.13
Tel +41 44 635 43 32

Short Bio

Since January 2012, Timo is a Ph.D. student in the Computation and Economics Research Group at the Department of Informatics of the University of Zurich. In 2009, he received a MSc (Diplom) in Mathematics with a minor in Computer Science from the University of Freiburg, Germany. From January 2010 till December 2011, Timo worked as a management consultant for the Business Technology Office of McKinsey & Company.

Research Interests

Matching Markets; Assignment Mechanisms; Prediction Markets; Financial Markets; Pricing Mechanisms; Mechanism Design; Electronic Commerce.

Research Papers

  • The Efficient Frontier in Randomized Social Choice.
    Timo Mennle and Sven Seuken. March 2015.[pdf]
  • The Naive versus the Adaptive Boston Mechanism.
    Timo Mennle and Sven Seuken. June 2014.[pdf]
  • An Axiomatic Approach to Characterizing and Relaxing Strategyproofness of One-sided Matching Mechanisms.
    Timo Mennle and Sven Seuken. Extended Abstract in Proceedings of the 15th ACM Conference on Economics and Computation (EC), Palo Alto, USA, June 2014.[full pdf]
  • Hybrid Mechanisms: Trading off Strategyproofness and Efficiency in One-Sided Matching.
    Timo Mennle and Sven Seuken. Working paper. February 2014.[pdf]

Other Articles

  • Relaxing Strategyproofness in One-sided Matching.
    Timo Mennle and Sven Seuken. ACM SIGecom Exchanges, Vol. 13, No. 1, June 2014.[pdf]


Advised Theses (with Sven Seuken)

  • Leveraging Competition Amongst Peers as a Motivating Factor in Learning Software.
    Bachelor Thesis by Stefan Bublitz. 2014.
  • Matching Experiments on Amazon Mechanical Turk.
    Bachelor Thesis by Michael Weiss. 2014.
  • Simulation of Boundedly Rational Manipulation Strategies in One-Sided Matching Markets.
    Bachelor Thesis by Basil Philipp. 2013.
  • Analysing Prediction Markets.
    Independent Study by Leonardo Stedile. 2013.