From Computational Biology Group
- email: micha.hersch at unil.ch
- personal web page: http://wwwpeople.unil.ch/micha.hersch/
I am involved in the Plant Growth project from SystemsX.ch. I am mainly interested in understanding, through a combination of mathematical modeling and experiments, how biological systems can robustly self-regulate their behavior. I studied this in the context of the gene regulatory network of the shade avoidance mechanism in the model plant Arabidopsis Thaliana and in cell size determination in the fission yeast.
I developed HypoPhen, an image analysis software for the semi-automatic phenotyping of Arabidopsis seedlings and Cellophane, an ImageJ plugin for the semi-automatic extraction of flourescent-tagged protein profiles along the cell membrane.
I also did some genome-wide data analysis related to human genetics, for example Genome Wide Association Studies, and another one showing the higher resilience of females to mutations in genes involved in neuro-developmental disorders such as autism.
My scientific interests include dynamical systems theory, self-organization, statistical learning theory and large-scale biological data analysis. For additional information, you can consult my web page.
And before this, I worked on automatic speech recognition at the International Computer Science Institute in Berkeley.
- 2009: Phd in cognitive robotics, LASA, EPFL
- 2004: Master in cognitive science, Université Paris VI
- 2003: Master in computer science, EPFL
Teaching and outreach
- I am coordinating the UNIL BSc course: "Solving Biological Problems that require Math"
- I also visit schools and tell them about medical genetics as part of the gene days