About Me

Hello! I'm Sanjay Curtis Nagi, a genomic data scientist in the pathogen programme at the Ellison Institute of Technology, building genomic resources and methods to power the next generation of infectious disease diagnostics.

Before that, I spent several years on the population genomics of mosquito vectors of disease, in particular the rapid evolution and spread of insecticide resistance in the major malaria vector, Anopheles gambiae. Much of that work centred on computational tools, pipelines and protocols that let researchers carry out effective, reproducible genomic surveillance, in Anopheles and other taxa.

I've been lucky that my work has spanned fieldwork and the lab bench, open-source software, large-scale data analysis and artificial intelligence, and I most enjoy working where these meet. Agentic AI is transforming data science, and I'm especially interested in how we keep rigour and quality at scale. I care about transparent, reproducible computational research: work that others can trust, reuse and build on.

In no particular order, I enjoy these a lot:

• Music
• The Great Outdoors (hiking, trail-running, camping)
• Sports (football, tennis, darts, cricket, the cricinfo app)
• Meditation
• Food
• The Communal Human Spirit

Feel free to explore some of the software tools I've developed, or publications I've contributed to.