Research Staff Member, Artificial Intelligence for Optimization
TJ Watson Research Center, New York
I am interested in a broad range of topics under the umbrella of
Artificial Intelligence spanning
Combinatorial Search and Optimization,
Knowledge Representation and Probabilistic Inference.
I have a passion for integrating techniques from other research areas such as Machine Learning.
This has enabled me not only to develop truly novel approaches producing state of the art results,
but also to engage in exciting cross-disciplinary collaborations; I am eager to continue along these lines.
Moreover, several technlogies have already been transferred to industrial project and products (e.g., IBM Data Science Experience).
Currently I am 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, design and analysis of efficient inference technology for probabilistic reasoning. One current project is the 'Cognitive Assistant for Data Scientists'.