I am a senior researcher at NEC Labs in Heidelberg.
From 2012-2015 I was a research associate at the University of Washington, Seattle. From 2009-2012 I was also a member of the Data and Web Science Research Group at the
University of Mannheim.
My co-authors and I were fortunate enough to win awards at international conferences such as UAI, IJCNLP, and ESWC. I was the principle
investigator of a Google faculty research award and a bilateral DFG-NEH research award. My research interests include tractable machine learning,
probabilistic graphical models, statistical relational learning, digital libraries and, more broadly, the large-scale extraction, integration,
and analysis of structured data.
I am also co-founder of several open-source digital humanities projects such as the Indiana Philosophy
Ontology Project and the Linked Humanities Project.
- (04/25/16) The paper "Learning Convolutional Neural Networks for Graphs" has been accepted at the International Conference on Machine Learning (ICML).
- (03/27/16) I am co-organizing the IJCAI-16 workshop Statistical Relational AI. Please visit the workshop's website for more information (including some exciting invited talks) and consider submitting your work!
- (06/01/15) The paper "Learning and Inference in Tractable Probabilistic Knowledge Bases" was accepted at the 31st Conference on Uncertainty in Artificial Intelligence. (UAI)
- (01/04/15) Nominated by the University of Washington, I will present my work at the Information Theory and Applications Workshop (ITA) in San Diego
- (11/13/14) The paper "Out of Many, One: Unifying Web-Extracted Knowledge Bases" was accepted at the NIPS Workshop on Automated Knowledge Base Construction (AKBC) 2014
- (11/08/14) The paper "Lifted Probabilistic Inference for Asymmetric Graphical Models" was accepted at the 29th AAAI Conference on Artificial Intelligence
- (11/06/14) The paper "Generalized Conditional Independence and Decomposition Cognizant Curvature: Implications for Function Optimization" was accepted at the NIPS Workshop on Discrete and Combinatorial Problems in Machine Learning
- (05/07/14) I was selected to participate in the 2nd Heidelberg Laureate Forum, to be held September 21-26 in Heidelberg, Germany
- (05/02/14) The paper "Tractability through Exchangeability: A New Perspective on Efficient Probabilistic Inference" is one of 5 papers (out of 1400 submissions) nominated for the AAAI outstanding paper award.
- (04/11/14) The paper "Exchangeable Variable Models" was accepted at the International Conference on Machine Learning (ICML).
- (04/07/14) The paper "Tractability through Exchangeability: A New Perspective on Efficient Probabilistic Inference" was accepted at this year's AAAI conference
- (02/04/14) I am serving on the PC of the AAAI workshop StarAI and the SIGMOD/PODS workshop BUDA.
- (02/15/14) Pedro Domingos, Daniel Lowd, and I are organizing the ICML workshop Learning Tractable Probabilistic Models. Please visit the workshop's website for more information (including some exciting invited talks) and consider submitting your work!
- (02/04/14) I will serve on the PC of AAAI, ECAI, and UAI 2014.