Souptik Datta

Research Scientist

Souptik Datta has a Ph.D. in Computer Science from University of Maryland, Baltimore County. His primary research interests include text mining, data mining and algorithms for distributed data management. He has coauthored an IEEE award-winning research paper on privacy-preserving data mining and has a patent on a data obfuscation technique. He played a role in the Reuters Insider project and is currently working on the mining of search logs.

Ben Hachey

Senior Research Scientist

Ben Hachey holds a Ph.D. in informatics from the University of Edinburgh in Scotland. His primary research interests are in minimally supervised approaches for information extraction, automatic summarization and information aggregation. Ben has led a number of projects that leverage text classification for text data mining and natural language processing, e.g., tracking information flow, predicting price sensitivity, rhetorical role sequence tagging, and clause identification. Other expertise includes collaborative/social media, unsupervised relation extraction, fact-driven summarization and active learning for named entity recognition.

Recently, Ben developed state-of-the-art tools for resolving entity mentions, a key step in integrating structured knowledge resources with unstructured text, speech and images. The approach leverages inter-entity link structure for fast and elegant named entity linking to corresponding Wikipedia articles.

Christine Killian

Senior Research Scientist

Christine Killian has a Master's in Computer and Information Sciences from the University of Minnesota. Her primary interests involve search and ranking algorithms. She played a role in the WestlawNext and Drafting Assistant projects, and she is currently doing research in question answering.

Ravikumar (Ravi) Kondadadi

Senior Research Scientist

Ravi Kondadadi holds a Master's degree in Computer Science from the University of Memphis. He primarily focuses his research in the areas of information extraction, text summarization and machine learning. His current interests include the application of semisupervised learning approaches to information extraction problems.

Wenhui (Wendy) Liao

Senior Research Scientist

Wenhui (Wendy) Liao holds a Ph.D. in Electrical, Computer, & Systems Engineering from Rensselaer Polytechnic Institute. Her primary research interests are probabilistic graphical models, machine learning and their applications in information retrieval, information extraction, information fusion and computer vision. Since she joined R&D in 2007, Wenhui has worked on multiple projects covering various research topics including named entity extraction, Asian language segmentation, semisupervised learning, user query log analysis, patent retrieval, document recommendation and spell checking. Wenhui won the 2009 Inventor Award from Thomson Reuters for her joint work with Isabelle Moulinier in utilizing user information to improve legal search engine operation.

Masoud Makrehchi

Senior Research Scientist

Masoud Makrehchi received his Ph.D. in Electrical and Computer Engineering from the University of Waterloo, Ontario, Canada. Prior to Thomson Reuters, he was a research associate in the Pattern Analysis and Machine Intelligence Lab at the University of Waterloo. He joined the Thomson Reuters R&D group in 2007. His current primary research interests are in the areas of text mining, text categorization, machine learning, feature selection, topic identification, extracting structures and links from text (such as taxonomies) , recommender systems, mining social data, and social computing.  Over the past four years, he has been actively involved in several social computing research projects including: social link prediction and recommendation, analyzing community dynamics, social role prediction, user social profiling, extracting social structure, social link classification, and mining social media for prediction.

Hugo Molina-Salgado

Senior Research Scientist

Hugo Molina-Salgado holds a Master's degree in Computer Sciences from New Mexico State University. His research interests during the past 20 years include multilingual summarization, crosslingual information retrieval, information extraction, named entity recognition and recently named entity resolution and machine learning. Prior to joining Thomson Reuters, Hugo worked as a research assistant at the Computing Research Laboratory of New Mexico State University.

Liang Zhou

Senior Research Scientist

Liang Zhou received her Ph.D. from the University of Southern California's Information Sciences Institute, a masters degree from Stanford University, and a bachelor's degree from the University of Tennessee, all in Computer Science.  Prior to joining the R&D group, she worked on Fixed Income Derivatives Pricing and Risk at an investment bank.  Her current research projects involve developing alternative alpha-seeking quant signals from information synthesized by applying advanced natural language processing and machine learning techniques.

Thomas (Tom) Zielund

Senior Research Scientist

Tom Zielund has Master's degrees in Experimental Psychology from the University of Iowa and Computer Science from the University of Minnesota. He is primarily interested in data analysis. During his career he has analyzed a wide variety of data including retail sales, legal citation networks, human brain waves, and visual discrimination in pigeons. At Thomson Reuters, he has been involved in the Firm360 and WestlawNext projects.