I am a Machine Learning Scientist at Amazon in Berlin. Before joining Amazon in 2013, I was a postdoc at the Saarland University MMCI Cluster of Excellence working with Ivan Titov. Our project on inducing multilingual semantic representations received a Google research award. Before joining Ivan's group in July 2011 I was a postdoctoral fellow at the Johns Hopkins University Center for Language and Speech Processing working with Chris Callison-Burch.

I received my Ph.D. in Computer Science in late 2009 from the University of Illinois at Urbana Champaign where my adviser was Dan Roth. I spent two summers (in 2006 and 2007) as a intern at Microsoft Research Redmond working with Michael Gamon.

My research interests are machine learning and natural language processing. More specifically, I am interested in weakly supervised learning problems in NLP, computational semantics, and machine translation (particularly, for low resource languages).

Please, see my CV for more details.

• Winter 2012/2013, Saarland University
  Statistical Learning for Structured Prediction with Applications to NLP (with Ivan Titov)


• Summer 2012, Saarland University
  Semi-supervised and Unsupervised Learning with Applications to NLP (with Ivan Titov)


• Spring 2011, Johns Hopkins University
  Applications of Probabilistic Graphical Models in Language and Speech Processing (with Ves Stoyanov and Shane Bergsma)