- Sorbello, A., Haque, S.A., Hasan, R. et al, 2023. Artificial Intelligence–Enabled Software Prototype to Inform Opioid Pharmacovigilance From Electronic Health Records: Development and Usability Study. JMIR AI, 2, p.e45000.
- Gold, J. R., Gates, A. J., Haque, S. A. et al, 2022. The NSF ADVANCE network of organizations. ADVANCE Journal 3 (1).
- Nelson, L. K., Getman, R. & Haque, S. A., 2021. And the Rest is History: Measuring the Scope and Recall of Wikipedia’s Coverage of Three Women’s Movement Subgroups. Sociology Methods & Research, Online First.
- Cevik, M., Haque, S. A., Manne, J. et al, 2021. Gender disparities in COVID-19 clinical trial leadership. Clinical Microbiology and Infection.
Research Experience
Current Position: NLP Research Scientist, Independence Blue Cross (IBX)
Previous Position: Artificial Intelligence Fellow, Office of Translation Sciences, Food and Drug Administration (FDA)
Projects: Developed an AI-enabled software prototype to identify adverse drug event safety signals from free-text discharge summaries in clinical notes to enhance opioid drug safety and aid related research activities at the FDA; Created and evaluated large language models to predict future healthcare visit sequences of individuals; Developed generative AI and classical NLP-based solutions for entity disambiguation, keyword extraction, and knowledge graph visualization pipelines from unstructured texts.
Education
Ph.D. in Network Science (2022), Northeastern University, Boston, MA, USA
Advisors: From diverse disciplines such as Physics, Sociology, Epidemiology, Computer Science, and Communication Studies
M.Sc. in Computer Science and Engineering (2015), United International University, Dhaka, Bangladesh
B.B.A. in Finance (Minor: Marketing) (2013), Institute of Business Administration, University of Dhaka, Dhaka, Bangladesh
Background
Research Interests: Natural Language Processing, Network Science, Knowledge Graphs
Professional Field: Data Scientist, focusing on extracting insights from unstructured text data
Overview: Currently working as an NLP Research Scientist at the Advanced Analytics team of Independence Blue Cross (IBX), using various NLP methods to extract insights from call center transcripts, electronic health records, and benefit documents. His collaborative research projects include creating and evaluating large language models from insurance claims to predict future healthcare visit sequences of individuals.