I am working as an Applied Researcher in the Online Services and Advertising group of Microsoft Research Cambridge, UK.
Currently, I am developing machine learning methods for problems in online advertising.
Contacting me is most easy via e-mail. Detailed contact information, including postal addresses, can be found here
News
- Videos from the NIPS*2008 workshop "Beyond Search: Computational Intelligence for the Web" are now available, see the workshop schedule for the links to the videos.
- My article "Accurate Solubility Prediction with Error Bars for Electrolytes: A Machine Learning Approach"" is 2007's most cited article in the Journal of Chemical Information and Modeling (Impact factor: 3.4, total citations in 2007: 7026, publisher: American Chemical Society) - see the ACS Excellence Newsletter
- The book "Dataset Shift in Machine Learning", edited by Joaquin Quiñonero Candela, Masashi Sugiyama, Anton Schwaighofer, and Neil D. Lawrence (MIT Press, 2009) is out!
Brief biography
I studied computer science at Graz Unversity of Technology, Austria.. From 2000 to 2003, I completed my Ph.D. thesis on machine learning. My Ph.D. work was funded by an Ernst-von-Siemens scholarship, and supervised jointly by Volker Tresp at Siemens Corporate Technology, Munich, and Wolfgang Mass at Graz Unversity of Technology.
In May 2004, I joined the Intelligent Data Analysis Group at Fraunhofer FIRST in Berlin as a postdoc researcher. In my work there, I was leading a technology transfer project funded by Bayer Schering Pharma. This project, PCADMET, aimed at developing machine learning methods for predicting different properties of chemical compounds in early drug discovery. More information about this project can be found in the publications listed on my publications page.
In February 2008, I moved to the UK and joined Microsoft Research Cambridge.
