Currently working in the Cognitive Computing department at IBM Research and leading the automated machine learning and data science (AMLDS) group. Topics include Meta-Learning (e.g., automated algorithm selection and configuration), interactive ML systems, combinatorial reasoning and optimization, and the design and analysis of efficient inference technology for probabilistic reasoning. One current project is the 'Cognitive Assistant for Data Scientists'. Several technologies have already been transferred to industrial projects and products (e.g., IBM Data Science Experience).
Background
Research interests include a broad range of topics under the umbrella of Artificial Intelligence, spanning Combinatorial Search and Optimization, Knowledge Representation, and Probabilistic Inference. Passionate about integrating techniques from other research areas such as Machine Learning, which has enabled the development of truly novel approaches producing state-of-the-art results.