Sujan Anreddy PhD
- Assistant Research Professor
Dr. Sujan Anreddy joined SSRC in January 2018 as a computer specialist, and after completion of his Ph.D., he was named an assistant research professor. Recently, he received a National Science Foundation (NSF) grant as Co-PI to work alongside computer science graduate and undergraduate students in building a comprehensive database that collects, stores, and analyzes content related to fear, anxiety, sadness, and anger associated with COVID-19 from social media and web-based forums. He also works on the Mississippi Data project funded by Kellogg, where he designed and maintained an integrated database that links educational records from the MS Department of Education (MDE) with health records from the Division of Medicaid and the Mississippi State Department of Health. As part of managing this integrated database, he dealt with technical issues related to data linkage, data security, and data quality in the process of supporting data analysts compile fact sheets, and publications. Additionally, given his expertise in data visualization, he provides the SSRC with the capacity to develop data dashboards and interactive visualizations. He is involved with developing data visualization products for Health Resources and Services Administration (HRSA) funded project, “Child Health and Development Project”. He is currently managing the TRAPS portal(Tobacco Reporting and Progressive System) that helps Tobacco Control program evaluators and grantees manage their activities. He holds a doctorate degree in Computer Science from Mississippi State University with a specialization in data visualization. His expertise and research interests include applying and evaluating machine learning algorithms used for linking administrative records, predicting COVID-related misinformation based on social media posts, and building visual patterns using interactive visualization techniques to help analysts explore, identify, and comprehend big data features at multiple levels.
Dr. Anreddy's work is supported in part by MAFES.