Negin Nazari

I'm a spatial epidemiologist finishing my PhD, and my work sits where disease, geography, and data meet. I use spatial statistics and machine learning to figure out where infectious diseases are likely to spread — and what's driving them.

My background runs from the bench to the keyboard. I trained in biotechnology as an undergraduate, with hands-on wet-lab experience, before moving into computational and spatial epidemiology — so I understand the biology as well as the data.

Most of my day is spent cleaning real-world data, building prediction models, and making maps and estimates that are actually useful to the people making public health decisions. I care about doing this honestly: clear methods, results people can trust, and no jargon for its own sake.

I'm now looking for roles as an epidemiologist, researcher, or scientific writer — in public health, disease prevention, and research settings where careful analysis and clear communication both matter.

Outside of research, I'm usually hiking or kayaking somewhere around Southern California, or at home with my cat.