We use network science and data analysis to decipher collective phenomena at biological and social scales
We develop synthetic biology tools for animal model organisms like the fruit fly Drosophila melanogaster.
The Lindner team’s main efforts rely on years of investment in building an intellectual and experimental framework based on interdisciplinary approaches, harnessing physics and computer science and on welcoming young researchers to address key questions in Life Sciences with Systems and Synthetic Biology approaches, mainly focusing on Escherichia coli as the simplest (yet still not fully understood) model organism. We develop open and citizen science projects extended from understanding ageing to drug discovery and democratizing DNA detection to supporting Open Collaborative Efforts for Autism spectrum Network (OCEAN). The team is at the core of building the CRI Collaboratory research effort and contributes to developing the CRI undergraduate and graduate programs as well as outreach learning through research programs across the globe. For the past 12 years, the team mentored the Paris Bettencourt iGEM team.
Our team works on using data driven and collective intelligence approaches to understand antimicrobial resistance and create awareness about this global health challenge.
We design DNA to create beauty, knowledge and positive change in the world.
Millions of teachers learn daily by experimenting teaching methods. However, they largely do so individually, isolated. To be effective, teachers need reflectiveness about the effects of their experimentations, build upon each other’s successes and failures, thus integrating into a community of “teacher-researchers”. This research group aims at catalysing their collective intelligence to co-construct digital tools and communities that will empower their collective to ever-evolve the way they teach.