GIULIA PULLANO
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Disruptive Events, Human Behaviour & Infectious Disease Modeling

   
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Giulia Pullano, PhD
​Infectious Disease Epidemiologist

Fritz-Family postdoctoral fellow
Department of Biology, Georgetown University, USA
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NetSci (The Network Science Society) Board Member 
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Google Scholar
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Bluesky
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GitHub
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Linkedin

​About me
I am Giulia Pullano, a postdoctoral fellow in the Department of Biology at Georgetown University, where I conduct research in the Bansal Lab under the mentorship of Dr. Shweta Bansal. 

My Research Focus
My work bridges the gap between individual human behavior and large-scale disease transmission patterns. I develop mathematical frameworks that integrate real-world behavioral data to model how diseases spread both locally within communities and geographically across regions. This approach helps us better understand and predict epidemic dynamics at multiple scales and support outbreak response.

Background and Training
I earned my Ph.D. in Public Health with a specialization in Biomathematics from Sorbonne Université and INSERM in 2021, working under the supervision of Dr. Vittoria Colizza. My doctoral research, sponsored by Orange Labs, focuses in understanding how to integrate real-time individual mobile phone data into disease models to improve the model's predictability. 

My interdisciplinary background began with physics, where I developed strong quantitative skills. I hold a Master's degree in Physics of Complex Systems from Università degli Studi di Torino (2016) and a Bachelor's degree in Physics from Università degli Studi di Roma "La Sapienza" (2014). This foundation in complex systems and mathematical modeling led me to apply these tools to public health challenges.

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  • About
  • Papers
  • workshops
  • CV
  • Media
  • Contacts