Difference between revisions of "User:Micha"

 
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[[File:micha.jpg|100px|thumb|left|Micha Hersch]]  
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[[File:Micha.jpg|100px|thumb|left|Micha Hersch]]  
  
'''Post-doc'''
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'''Senior Researcher'''
* email: micha.hersch at unil.ch
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* email: micha.hersch at hepl.ch
  
* personal web page: http://wwwpeople.unil.ch/micha.hersch/
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* personal web page: http://mhers.ch
  
=== Research ===
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=== Current position ===
  
I am involved in the [http://www.systemsx.ch/index.php?id=150 Plant Growth] project from [http://www.Systemsx.ch SystemsX.ch]. I mainly try to model the gene regulatory network of the shade avoidance mechanism in the model plant Arabidopsis Thaliana.
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I am now associate professor at the Vaud University of Teacher Education [https://www.hepl.ch (HEP Vaud)], where I am involved in computer science education.
  
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.  
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=== Research ===
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I am mainly interested in understanding, through a combination of mathematical modeling and experiments and data analysis, how biological systems can robustly self-regulate their behavior.
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I studied this in the context of the gene [[regulatory network of the shade avoidance]] mechanism in the model plant Arabidopsis Thaliana and in the context of [[robust gradient formation]] for cell size determination in the fission yeast.  
  
I also work on a pharmacogenetics project trying to identify genes involved in the cardio-vascular response to beta-adrenergic stimulation in mice.  
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I also did some genome-wide data analysis related to human genetics, for example [[Genome Wide Association Studies]], and another one showing the [[gender bias in neurodevelopmental disorders | 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 [http://wwwpeople.unil.ch/micha.hersch/ web page].
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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 [http://people.unil.ch/michahersch/ web page].
  
I did my ph.D at the [http://lasa.epfl.ch lasa (EPFL)], where I worked on bio-inspired motor control and artificial cognition for humanoid robots. See [http:///wwwpeople.unil.ch/micha.hersch/phd.php this page] for more details on this.
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I did my ph.D at the [http://lasa.epfl.ch lasa (EPFL)], where I worked on bio-inspired motor control and artificial cognition for humanoid robots.
  
 
And before this, I worked on automatic speech recognition at the [http://www.icsi.berkeley.edu/ International Computer Science Institute] in Berkeley.
 
And before this, I worked on automatic speech recognition at the [http://www.icsi.berkeley.edu/ International Computer Science Institute] in Berkeley.
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Beside research and teaching, I also did data analysis and consulting for the private sector.
  
 
=== Academic titles ===
 
=== Academic titles ===
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=== Publications ===
 
=== Publications ===
Look [http://wwwpeople.unil.ch/micha.hersch/publications.php here]
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Look [http://people.unil.ch/michahersch/publications here]
 
 
 
 
=== Teaching and outreach ===
 
 
 
* I am coordinating the [[UNIL BSc course: "Solving Biological Problems that require Math"]]
 
 
 
* I co-organized the [[SPSW 2012 summer school exercise session]]
 
 
 
* I also visit schools and tell them about medical genetics as part of the [http://www.gensuisse.ch/fr/projets/schul-und-laborbesuche-f/region-vaudoise gene days]
 

Latest revision as of 08:33, 2 May 2023

Micha Hersch

Senior Researcher

  • email: micha.hersch at hepl.ch

Current position

I am now associate professor at the Vaud University of Teacher Education (HEP Vaud), where I am involved in computer science education.

Research

I am mainly interested in understanding, through a combination of mathematical modeling and experiments and data analysis, 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 the context of robust gradient formation for cell size determination in the fission yeast.

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.

I did my ph.D at the lasa (EPFL), where I worked on bio-inspired motor control and artificial cognition for humanoid robots.

And before this, I worked on automatic speech recognition at the International Computer Science Institute in Berkeley.

Beside research and teaching, I also did data analysis and consulting for the private sector.

Academic titles

Publications

Look here