Diana Menya

Associate Professor Moi University
Kenya Cohort 2

Profile AI

Diana - Menya is an Associate Professor at MoHeUniversity, serving in the Department of Library within the Faculty of Information Sciences. Her research focuses on clinical research within the field of medical epidemiology, with a specialization in medical epidemiology. Her scholarly work sits at the intersection of information sciences and epidemiology, examining how information systems, libraries, and information professionals can strengthen clinical research. She explores methodological rigor in evidence synthesis, study design, data management, and the dissemination of medical knowledge, with an emphasis on making findings more accessible and actionable for researchers and clinicians. Teaching and mentorship are central to her career. Diana - Menya leads graduate education and professional development in information sciences, teaching courses on information retrieval, evidence-based practice, research data management, and scholarly communication. She mentors graduate students and early-career researchers, guiding projects that integrate library science with epidemiology and clinical research. Collaborations and impact are hallmarks of her work. She collaborates with clinicians, epidemiologists, and data scientists to advance methods in medical epidemiology and to enhance access to high-quality medical evidence. Her efforts emphasize reproducibility, open science, and the pivotal role libraries play in supporting clinical research workflows. Key research themes - Clinical research methods in medical epidemiology, including study design, bias assessment, and interpretation of findings - Evidence synthesis, systematic reviews, and knowledge organization for clinical questions - Information retrieval and decision support for clinicians and researchers - Data management, data curation, and stewardship for medical datasets - Open science, data sharing, and transparent dissemination of medical research - Scholarly communication and library services to support translational and clinical research Diana - Menya’s work continues to bridge information science and epidemiology, promoting rigorous, accessible, and impactful medical research that informs practice, policy, and health outcomes.

Program Impact AI

The publication timeline suggests the program had a strong positive impact on the author’s research productivity, with a clear increase in output during enrollment compared with the pre-enrollment period. Because graduation was not recent, the much larger post-graduation record likely reflects longer-term career development, but the program appears to have helped establish a stronger publication trajectory.

Latest publications

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