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Machine Learning for Optimization
Machine Learning for Optimization

I'm a senior research scientist at NAVER LABS Europe (NLE) with PhD from Helsinki University.

My main research area has been model selection of probabilistic graphical models, but among my over eighty peer-reviewed articles there is work on diverse subjects such as Bayesian theory, minimum description length theory, prediction, classification, clustering, medical and bioinformatics, educational research, cognitive science, reinforcement learning, artificial intelligence and robotics, information retrieval, combinatorial optimization, diagnostics, natural language processing, etc.

I've worked in both academic and industrial research centres (University of Helsinki, the National University of Singapore, Nokia Research Centre, A-Star Institute of High Performance Computing, and Xerox Research Centre Europe).

I'm an active reviewer for many machine learning conferences and journals.


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