Markus Ewert

E-Mail: markus.ewert@tum.de
Phone: +49 (0) 89 289 - 17507
Fax: +49 (0) 89 289 - 17535
Office: Room 01.10.055
Boltzmannstr. 3
85748 Munich, Germany
Hours: by arrangement

Short Bio

I'm a PhD student at the DSS chair supervised by Prof. Bichler since Mai 2021. My research focusses on the computation of behavioral equilibria in various incomplete information games. 

Education:

  • 04/2018 - 09/2020: Master in Information Systems (M. Sc.), Technical University Munich
  • 10/2016 - 04/2021: Bachelor in Statistics (B. Sc.), Ludwig-Maximilians-University Munich
  • 10/2014 - 09/2017: Bachelor in Information Systems (B. Sc.), Technical University Munich

Working Experince:

  • 11/2018 - 05/2021: Working student, BayernLB
  • 10/2017 - 02/2018: Consultant Intern, Senacor Technologies AG
  • 01/2016 - 01/2017: Working student, Swiss Life

Publications

Conference Proceedings

Approaching the Overbidding Puzzle in All-Pay Auctions: Explaining Human Behavior through Bayesian Optimization and Equilibrium Learning
M. Ewert, S. Heidekrüger, and M. Bichler. Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Learning, May 2022. (AAMAS-22). Extended Abstract: https://dl.acm.org/doi/abs/10.5555/3535850.3536043 

Conference Talks

Learning Bayes Nash Equilibrium Strategies in Contests (The 8th Annual Conference on “Contests: Theory and Evidence”, Reading, 06/2022)

Approaching the Overbidding Puzzle in All-Pay Auctions: Explaining Human Behavior through Bayesian Optimization and Equilibrium Learning (International Conference on Operations Research - OR 2022, Karlsruhe, 09/2022)

Teaching

Courses:

  • Business Analytics (Winter Term 2021/ 22)
  • Seminar on Data Mining (Summer Term 2021)

Completed Student Projects:

  • Master Thesis: Learning to Rank: Evaluation of Ranking Methods for Cross-Sectional Investment Strategies, Florian Bauer, 2022 (in cooperation with Newgate)
  • Master Thesis: Setting Smarter Targets for Sales Teams using Predictive Analytics, Clara G. Clipea, 2022 (in cooperation with NavVis)
  • Master Thesis: Functional Data Clustering for User Segmentation on Cloud Platforms - a Benchmark Analysis, Frederic Winter, 2022 (in cooperation with SAP)
  • Bachelor Thesis: Estimating Generalized Bid Functions in All-Pay AuctionsThrough Equilibrium Learning, Ata Yagiz Canpolat, 2022