Maria M. Martignoni
Google scholar
Research Scholar
Brown Lab
Center of Microbial Dynamics and Infection
Georgia Institute of Technology,
Atlanta (USA)
Maria M. Martignoni
Google scholar
Research Scholar
Brown Lab
Center of Microbial Dynamics and Infection
Georgia Institute of Technology,
Atlanta (USA)
I am a mathematical biologist with advanced training in both mathematics and the life sciences, and a broad curiosity for nature, humanities, and culture that has led me to live and work in different countries around the world. This breadth of experience has been a continuous source of creativity in my work and has shaped the way I approach scientific problems: from different perspectives and across disciplinary borders.
My research is motivated by open questions in population and community ecology, microbiology, evolutionary biology, conservation, and epidemiology, and is often developed through fruitful interactions with experimentalists. I use mathematics and computational approaches to understand how living systems interact, move, adapt, and evolve, driven by a desire to uncover the principles that organize the architecture of nature. Mathematics provides a language to frame biological questions in a way that moves beyond intuition, using abstraction not to simplify away the richness of living systems, but to reveal principles that connect them. In practice, I translate biological hypotheses into quantitative insights, provide mechanistic interpretations of experimental data, and generate predictions that guide empirical research.
I am particularly fascinated by microbes. They are ubiquitous, remarkably diverse, and central to the functioning of our planet’s ecosystems and to the well-being of the organisms that inhabit them, yet we are still uncovering the complexity of the relationships they form with one another and with their biotic and abiotic environment. Through mathematics, I seek to unravel the rich dynamics of microbial communities and social microbiology. I am interested in how these microscopic social interactions shape the broader microbiome, influencing how host–microbiome relationships are established, maintained, disrupted, and ultimately harnessed to promote health and resilience.
Education
PhD in Mathematics, University of British Columbia, Canada
2016–2020
MSc in Physics, University of Basel, Switzerland
2010–2011
BSc in Nanosciences, University of Basel, Switzerland
2007–2010
Postdoctoral Fellow, Georgia Institute of Technology, USA
2024–present · Microbial dynamics & eco-evolutionary theory
Postdoctoral Fellow, Hebrew University of Jerusalem, Israel
2022–2024 · Microbiome-mediated adaptation
Postdoctoral Fellow, Memorial University of Newfoundland, Canada
2020–2022 · Mathematical epidemiology & disease ecology