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Mudita Singhal

Dr. Mudita Singhal is a Senior Research Scientist in the Technology for Agile Organizations (TAO) Group. She has more than 12 years of experience working in interdisciplinary teams facilitating product development and heterogenous data integration, visualization & analysis. Her expertise is in the areas of visual analytics, user interfaces and applied machine learning. Her current research focuses on developing visual analytic products for Law Enforcement Agencies. She was previously the Principal Investigator of a government grant building POCs for search across large document collections.

Mudita has been the product owner and made significant contributions to several publicly deployed tools, including COPASI, BRM, Pquad, CABIN and Cartoonist, as well as internally deployed POCs such as Footprints and CoRef. She has obtained her Ph.D. in Computer Science from Washington State University and a Masters in Computer Science from Virginia Tech. She is Product Management Certified from the Haas School of Business, Berkeley and has managed several government and internal grants. Additionally, she has co-authored more than 35 peer-reviewed journal and conference publications.