about

This is the personal page of Dr.-Ing. Markus Weimer. I’m a Scientist at Yahoo! Labs based in Santa Clara, California. My research focusses on very large scale machine learning techniques and novel applications thereof.

Publications

A list of my publications can be found here.

Software I work(ed) on

  • CofiRank: A collaborative filtering algorithm that supports predicting the ranking of items as opposed to mere rating.
  • BMRM: Open source, modular and scalable convex solver for many machine learning problems cast in the form of regularized risk minimization problem.
  • Elefant: A machine learning toolbox. My contributions include a bridge that renders UIMA annotators into feature extraction tools for machine learning. This code is Open Source under the Mozilla Public License.
  • DkPro: A set of UIMA annotators. Only available under a restrictive licence.

Awards

Involvement in the academic community

2010

2009

  • Reviewer Deutsche KI-Konferenz 2009
  • PC Member of the Workshop on Social Information Retrieval for Technology-Enhanced Learning (SIRTEL’08) in the International Conference on Web-based Learning (ICWL) 2009
  • Co-Organizer of iatel09
  • PC-Member of ECML/PKDD 2009
  • External reviewer for KDD 2009

2008 and earlier

People I work(ed) with

Student guidance

  • Daniel Glöckner: Collaborative filtering of framework code, Diploma thesis at TUD.
  • Kai Michael Höver: Ranking im Web 2.0. Diplomarbeit an der TU Darmstadt.
  • David Koch: Study of the discrepancy between client- and server side logging of clickstreams. Master’s Thesis at the KTH Stockholm.

Teaching

  • 2006/2007: E-Learning seminar at TUD together with Jürgen Steimle and Guido Rössling.
  • 2006: Web 2.0 course at the Akademischer Verein at TUD. Together with Andreas May from cetron.
  • 2005: Designed a practical course in Data Mining at IPSI together with Ulrike von Luxburg.
  • 2001-2004: “Allgemeine Informatik”, the computer science course for non-cs majors at TUD. Together with Karsten Weihe
  • 2002: LaTeX course at the Akademischer Verein at TUD. Together with Andreas May from cetron.

Former affiliations

  • I obtained my PhD as a student in the graduate school for the improvement of e-learning at the computer science department of the Technische Universität Darmstadt, Germany. I worked on applications of machine learning in elearning. To do so, I was lucky enough to gather support by two supervisors: Max Mühlhäuser (TUD) and Alex Smola (Yahoo! Research / Australian National University).
  • Yahoo! Research: Research intern. I worked on email spam filters in the SPARTA project.
  • Statistical Machine Learning Program of NICTA: Visiting Scholar
  • Data Mining Group MINE of Fraunhofer’s Integrated Publication and Information Systems Institute (IPSI): Research associate
  • Centre for Complex Systems and Control (CDSC) at The University of Newcastle, Australia: Visiting Scholar