Showing posts with tag: #epidemiology


Noam Ross

Just out from CDC: A really great review of ethical dimensions of data science in public health. It gives a practical set of questions for researchers and data scientists to consider in themes of privacy, responsible stewardship, justice as fairness, and inclusivity and engagement.

pmc.ncbi.nlm.nih.gov/articles/


Tags: #datascience #publichealth #epidemiology


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Ben Toh

I'm a Post-doc working on mathematical and statistical model of malaria and COVID-19. I was actually trained as field marine ecologist, and only started picking up on my quantitative skills during my PhD in 2016, in which I drifted towards disease. Nevertheless, I love both and word, and hope to contribute to both domains using my and skills. I am enthusiast, but also speak and if I have to 😅


Tags: #introduction #infectious #epidemiology #ecology #computational #quantitative #rstats #python #cpp


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