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PhD student in Prof. Emo Welzl's research group
and also member of Prof. Ivo Sbalzarini's MOSAIC group
Research:
Scientific interests:
- algorithms, optimization and mathematics
- (randomized) optimization for convex and non-convex problems
- computational geometry of high-dimensional energy landscapes
- bio-inspired black-box algorithms for optimization
My research is supported by the CG Learning project, which itself is supported by the FET (Future and Emerging Technologies) unit of the European Commission (EC) within the 7th Framework Programme of the EC under contract No. 255827.
Theses:
Graph sparsification and applications,
Master thesis in Mathematics, March 2010
On two problems regarding the Hamilton Cycle Game,
Bachelor thesis, July 2008
Talks:
Convergence of Local Search
3 May 2012, Workshop on Theory of Randomized Search Heuristics (ThRaSH) 2012, Lille/Villeneuve d'Ascq, France
The Heavy Ball Method
3 April 2012, Mittagsseminar
Advertising Randomized derivative-free optimization
12 March 2012, The First ETH-Japan Workshop on Science and Computing, Engelberg, Switzerland
Gradient-free optimization with Random Pursuit
15 December 2011, CGLearning Review Meeting, Zürich, Switzerland
Dimension reduction with the Johnson-Lindenstrauss Lemma
29 September 2011, Mittagsseminar
Random derivative-free optimization of convex functions using a line search oracle
9 July 2011, Workshop on Theory of Randomized Search Heuristics (ThRaSH) 2011, Copenhagen, Danmark
Principles of self-adaptation in randomized optimization
16 December 2010, Mittagsseminar
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