Aditya Kalyanpur  Aditya Kalyanpur photo       

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Thomas J. Watson Research Center, Hawthorne, NY USA



I am a Research Staff Member and Master Inventor in the Watson Technologies group at IBM. My research interests include knowledge representation & reasoning, natural language processing, machine learning and statistical data mining.

I am currently part of the DeepQA team which focuses on automated question-answering technology. In 2011, we built the Watson system, which won the Jeopardy Man vs. Machine challenge. I have been involved in the development of several core algorithms in Watson related to question analysis, evidence gathering and scoring, knowledge based inference, and answer merging and ranking.

Previously, I worked on the Scalable Highly Expressive Reasoner (SHER) project at IBM. SHER uses the idea of ontology summarization to scale reasoning to very large and expressive logic-based KBs. The technology has been successfully deployed in semantic search applications, especially in the medical domain (e.g. matching patients to clinical trials

I completed my MS and PhD in Computer Science from the University of Maryland, College Park. My other interests include video game AI, especially autonomous agent and multi-agent systems in games such as Creatures.







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