I am a Research Scientist at Thomson Reuters. I obtained my Ph.D. degree in Computer Science from Lehigh University, PA, USA. My primary research focus is Entity Coreference in the Semantic Web and Linked Data - developing domain-independent algorithms for interlinking heterogeneous and large-scale data sources to facilitate data consumption and utilization in the Semantic Web. Through participation in several DARPA and NSF projects, I am also interested in Databases, Information Retrieval, and Machine Learning. I won the first place of the 2012 Semantic Web Challenge (Billion Triples Track) for my collaborative work at Lehigh University.

Prior to joining Thomson Reuters, I also performed research internships at Mayo Clinic and IBM Research, gaining experience in applying state-of-the-art techniques to solve real-world problems. At Thomson Reuters, I am primarily working on Big Data, Natural Language Question Answering, and Natural Language Generation. My work also includes other interesting and challenging research problems, including Temporal Information Extraction and Entity Linking.

Primary Research Interests
  • Semantic Web and Linked Data
  • Scalable and Domain-Independent Entity Coreference (Entity Resolution, Record Linkage, De-duplication)
  • Data Integration
  • Question Answering
  • Big Data
Other Interests
  • Information Retrieval
  • Information Extraction
  • Natural Language Processing