Prof. Yoram Louzoun

Mathematical biology, bioinformatics, graph theory, stochastic processes, machine learning

http://u.cs.biu.ac.il/~louzouy/

ABOUT MY WORK

  • Mathematical immunology. – We study the repertoire of B and T cell and its relation to autoimmune disease. We have developed a webserverof all epitopes presented to CTLs. We also study many aspects related to B cell immunology.

 

  • Networks – We study many aspects of network formation, such as their generation mechanism, hierarchy within networks, algorithm for network properties, and many other interesting aspects of networks.

 

  • Stochastic processes. We study spatially extended birth death processesand their relation to economy

 

  •  Imaging

 

  • I am also interested in many other aspects of mathematical biology.

SELECTED PUBLICATIONS

1. Benichou, J.; Ben–Hamo, R.; Louzoun, Y.; Efroni, S.; (2012) Rep-Seq: uncovering the immunological repertoire through next-generation sequencing, Immunology 135(3):183-191
2. Magori-Cohen, R.; Louzoun, Y.; Herziger, Y.; Oron, E.; Arazi, A.; Tuppurainen, E.; Shpigel, N.Y.; Klement, E.; Sadilkova, L.; Nepereny, J.; (2012) Mathematical modelling and evaluation of the different routes of transmission of lumpy skin disease virus, Mathematical modelling 43:1
3. Agranovich, A.; Louzoun, Y.; (2012) Predator-prey dynamics in a uniform medium lead to directed percolation and wave-train propagation, Physical Review E 85(3):31911
4. Louzoun, Y.; Ganusov, V.V.; (2012) Evolution of viral life-cycle in response to cytotoxic T lymphocyte-mediated immunity, Journal of Theoretical Biology 310:3-13
5. Maman, Y.; Blancher, A.; Benichou, J.; Yablonka, A.; Efroni, S.; Louzoun, Y.; (2011) Immune-induced evolutionary selection focused on a single reading frame in overlapping hepatitis B virus proteins, Journal of virology 85(9):4558-4566

RESEARCH PROJECTS

1) Mathematical immunology.

We study the adaptive immune response through the repertoire of expressed receptors and the repertoire of expressed epitopes. We use machine learning tools to compute predicted (mainly CD8 T cell) epitopes and the relation between the presentation of these epitopes on viruses and cancer cells and the evolution of viral/tumor population.

We use tools from ecology and evolution to understand the diversity of the human B and T cell response and the relation between this diversity and the immune response to pathogens. This analysis is performed in collaboration with leading labs in Europe and the US.

2) Population dynamics.