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Computer Science

The Computer Science group at IBM Research - Almaden leads the next generation of research in database management, intelligent information systems, user productivity, healthcare IT and the theoretical foundations of computer science. We invent new algorithms and architectures for finding, integrating, managing, analyzing and protecting information, and explore and prototype new modes of user interaction. We are creating the technical underpinnings for a national healthcare network and do fundamental research into game theory and mechanism design, lattices and the theory of semantic mappings. Our innovations have played a role in creating entirely new disciplines such as relational database management and have also led to novel research areas such as information mining, schema mapping, data disclosure management, and activity management.

We explore these areas from theory to systems, and from the laboratory to practice. We apply our technology to problems faced by companies in a broad range of industries including finance, healthcare, telecommunications, and retail, directly interacting with clients and leveraging IBM's unparalleled technical sales and services teams. We pursue a mix of medium- and long-term research, including high-risk/high-reward projects with the potential for disruptive and revolutionary business impact. We measure our success by our strong publication record and our impact on IBM's business and the world. Our researchers are active and respected members of their scientific communities and collaborate with universities.

More information on computer science research can be found at IBM Research Computer Science.

Featured Projects

[AALIM logo] AALIM
AALIM (Advanced Analytics for Information Management) is a decision support system for cardiology that exploits the consensus opinions of other physicians who have looked at similar patients to present statistical reports summarizing possible diagnoses. The key idea behind our statistical decision support system is the search for similar patients based on the underlying multimodal data consisting of cardiac echo videos, heart sounds, ECGs, and reports. Read More

Featured Publications

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Talks and Events

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