Shajeeah Khalid: My name is Shajeeah Khalid, and I will be joining PharmaSafe as part of the Summer Research Projects for Students at UiO:Life Science. I have a background in Pharm.D. and am currently completing a Master’s degree in International Community Health at the University of Oslo.
In my master’s thesis, I work with Norwegian registry data to study socio-demographic characteristics and mortality among elderly hip fracture patients during wintertime and non-wintertime. Through this work, I developed a strong interest in registry-based epidemiological research and the ways in which analytical and methodological approaches can influence public health knowledge and research findings.
At PharmaSafe, I will contribute to the project “The Hidden Driver of Epidemiologic Estimates: Rethinking Observation Periods in Norwegian Health Data.” The project examines how observation period definitions may affect epidemiological estimates and interpretations in registry-based health research. I am especially interested in the methodological and computational aspects of working with complex health data and their implications for research quality and evidence-based public health knowledge.
I see this as a valuable opportunity to further strengthen my analytical and research skills while contributing to an important and innovative project. I look forward to learning from the PharmaSafe team and collaborating with fellow students this summer.
Diego Salazar: I am a master's student at the University of Oslo (UiO) with experience in computational and statistical modeling, data analysis, and scientific programming. My background includes developing reproducible analytical pipelines, working with biological and medical datasets, and applying quantitative methods to investigate complex research questions.
This summer, I will contribute to The Hidden Driver of Epidemiologic Estimates: Rethinking Observation Periods in Norwegian Health Data, a research project focused on evaluating how different observation period definitions influence epidemiological estimates using Norwegian registry datasets. My work will involve implementing and comparing analytical workflows in R, running and monitoring study scripts, generating comparative tables and figures, and contributing to the preparation of a scientific report.
I am particularly interested in data science, statistical analysis, and computational approaches. Always eager to explore, learn, and create solutions that bridge science, technology, and society.