I am a Sr. Research Scientist at Thomson Reuters. I obtained my Ph.D. degree in Computer Science from Lehigh University, PA, USA. 

During my Ph.D. time, I primarily worked on Entity Coreference in the Semantic Web and Linked Data - developing domain-independent algorithms for interlinking heterogeneous and large-scale data sources in order 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 am recipient of the 2015 Semantic Web Science Association Distinguished Dissertation Award and also won the first prize of the 2012 Semantic Web Challenge (Billion Triples Track) for my 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 Knowledge Graph, Natural Language Question Answering, and Natural Language Generation.

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