radoslaw ejsmont
Long term fellow
I am a researcher focused on gene expression regulation in development, regulatory network reconstruction, in vivo quantitative genomics, synthetic biology, and novel technology development. I love using imaging and automated image processing in quantitative biology. I am a devoted Fiji/ImageJ fan and developer.
Radoslaw's Bio

I am a long-term fellow leading the SyntheticFlyLab. Our team will develop a comprehensive set of synthetic biology tools (genetic LEGO blocks) to study and recreate gene regulatory networks (networks of genes that regulate other genes) using fruitfly Drosophila melanogaster as a model.

 I am a hobby photographer, biker and private pilot. I am running networks as a hobby and develop some software from time to time. Some people say that I am a geek...

We develop synthetic transcription factors in Drosophila melanogaster
Rainbow Dash
Development of synthetic pigment biosynthesis pathways in Drosophila
We push the limits of CRISPR genome engineering in the fruit fly
Freeze the flies - free your lab!
Retinal determination network
We aim to decipher the gene regulatory network driving photoreceptor specification
COVID-19 Response Initiative
Development of strategies to reduce the risk COVID-19 transmission at CRI
develop and build a cheap anti-"flying pests" LASER on the principle of Nathan Myhrvold's mosquito laser
The clock of ageing
Building an artificial molecular clock to measure time passing in multiple flies of a single cohort
Effects of E-learning on students’ stress and attention span during the COVID-19 pandemic
Analyze how e-learning in pandemic affects students’ stress and attention span.
Open Science AIRE Course
Learning by doing Open Science
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.