dusan misevic
Director of Research Affairs
In his role as the Director of Research Affairs he is charting the course for CRI Research, designing and organizing the Advanced Workshops, structuring and executing the recruiting of the Research Fellows, and mentoring the Fellows. Previously he was the Scientific Coordinator for the undergraduate program Frontiers in Life Science at CRI. His background is in evolutionary and computational biology.
Dusan's Bio

After graduating from Caltech in mathematics and biology, Dusan got his Ph.D from Michigan State University in evolutionary biology, working with Rich Lenski and Charles Ofria. He did a short postdoc at ETH in Switzerland with Sebastian Bonhoeffer before coming to CRI in 2009 as a postdoc in the Evolutionary and Systems Biology team of the INSERM U1001.

His most recent position at CRI was the Scientific Coordinator for the undergraduate program Frontiers in Life Science. In his present role as the Director for Research Affairs at CRI Research he is participating in charting the course for CRI Research, designing Advanced Workshops, organising the recruiting of the Research Fellows, and mentoring the Fellows.

Research Interests

Dusan’s current main research interests concern evolution of genetic architecture and indirectly selected evolutionary traits, such as cooperation, evolvability, and mutation rate. In his research he is primarily using computational systems, including Avida, Aevol, and population genetic models, but he is also involved in microbiology projects on cooperation.

Besides research, Dusan is very interested in new education methodologies and has been teaching various courses at the undergraduate and master’s level, including Biology Bootcamp, Computer Science, Scientific Communication, Evolution, Biological Modeling, and Interdisciplinary projects. He co-designed and is involved in running a citizen science project on aging in humans, www.AgeGuess.org.

Evolution Dynamics of Bacterial Cooperation Traits
Study of how genetic information spread by mobile genetic elements can modulate the evolution and selection of cooperative traits
Advanced Weather & Pollution Station
Distributing traffic, weather and pollution analysis in the city
Information storage in plant DNA
In the project Information storage in plants DNA we will study DNA as a medium storage for data. The main goal of this project is to implement an effician error correction code for data retreaval. Indeed, when you encode data such as audio file, text file, pictures, videos, into DNA, you are taking the risk that your genes could mutate, or have miss reading during sequencing. If no correction is applied, your data will be corrupted. The first step is to build this DNA encoder and decoder, and build them close to the biological reallity. Then we will focus on correction error code, base on the existing literature (Use of galloy field, DNA fountain, etc, etc), or try to find a new way to preserve the integrity of our data and avoid the data loose due to mutation or reading error.