Maximilian Fichtl
	Department of Informatics (I18) Technical University of Munich
	E-Mail:	This email address is being protected from spambots. You need JavaScript enabled to view it.
	Office:	Room 01.10.058 Boltzmannstr. 3 85748 München, Germany
	Phone:	+49 (0) 89 289 - 17528
	Hours:	by arrangement

Short Bio

Education

• Since 5/2019 AdONE associated researcher, TUM
• Since 2018: PhD student at the Chair for Decision Sciences and Systems, TUM
• 2014-2017: Graduation as Master of Science in Mathematics, TUM
• 2011-2014: Undergraduate studies in Mathematics (Topmath) with minor Computer Science, TUM

Awards

• Study Award 2014 for excellent study performance

Working Papers

• Baldwin, E, Bichler, M, Fichtl, M, Klemperer, P. Strong Substitutes: Structural Properties, and a New Algorithm for Competitive Equilibrium Prices.
• Bichler, M, Fichtl, M, Heidekrüger, S, Kohring, N, Sutterer, P. Learning to Bid: Computing Bayesian Nash Equilibrium Strategies in Auction Markets. [conference version]
• Fichtl, M. Computing Candidate Prices in Budget-Constrained Product-Mix Auctions. [pdf]
• Fichtl, M. Assignment Messages do not express all Strong Substitutes Valuations.

Journal Publications

• Bichler, M, Fichtl, M, Schwarz, G. Walrasian equilibria from an optimization perspective: A guide to the literature. Naval Research Logistics. 2020; 1 – 18. [link]

Teaching

• Operations Research (IN0022)

Student Projects

• Bachelor Thesis: Experimental Evaluation of Submodular Flow Algorithms, Giuliano Gaub, 2020
• Bachelor Thesis: Algorithmen zur Maximierung Submodularer Funktionen, Yongli Huang, 2020
• Bachelor Thesis: Computing equilibrium prices in Fisher Markets, Hasan Postoglu, 2019
• Bachelor Thesis: Computing bids for product-mix auctions, Patrick Ennemoser, 2019