Ridam Paul works as a Research & Data Associate supporting research on the 1971 Liberation War and genocide, with a focus on research data organisation, source verification, digital archiving, and research technology support. He collaborates closely with senior researchers to strengthen historical research through systematic documentation, verification, and structured preservation of materials.
His work involves identifying, collecting, and evaluating primary and secondary sources, including archival documents, newspapers, reports, and other credible historical records. He conducts fact-checking and reference validation and supports research writing through drafting assistance, formatting, citation management, and preparation of materials for publication and dissemination.
Ridam is actively engaged in digitising, cataloguing, and organising historical documents and maintaining structured research repositories to ensure long-term accessibility, traceability, and reuse of research materials. He supports data collection and applies data-oriented and computational thinking to managing large volumes of qualitative and historical information.
In addition, he provides technical and IT support to senior researchers, helping integrate digital tools, structured workflows, and basic data systems into humanities and historical research. His work also includes basic audio and video editing for interviews, lectures, and research documentation related to Liberation War and genocide studies.
Academically, Ridam holds a Bachelor of Science (Honours) in Botany from the Government Titumir College, University of Dhaka, where his scientific training developed strong analytical, methodological, and evidence-based thinking. His professional journey began in operations, organisational systems, and process management, where he worked extensively with structured data, documentation, and workflow optimisation. Over time, this operational work evolved into data-focused responsibilities involving data collection, structuring, validation, and analysis, which naturally transitioned into research support roles centred on data integrity, documentation, and verification.
He has completed basic training in Python programming and successfully completed Code in Place 2025 (CIP-25) from Stanford University, strengthening his capacity to apply computational and systematic approaches to research data. He intends to pursue postgraduate studies in data science, with a long-term academic and professional goal of specialising in data engineering and contributing to interdisciplinary research at the intersection of data, digital humanities, and genocide studies.