I am a postdoctoral research associate at Department of Statistics, Harvard University, in Edo Airoldi's applied statistics lab.

I enjoy solving problems that require statistics, math and programming. If networks are involved or the data is big, that is even better. I have been working on genomic and proteomic data sets and social networks.

I participate in the XDATA Darpa project, and have implemented several network analysis methods in the open source software library igraph.




  1. ED Kolaczyk, G Csárdi. Statistical Analysis of Network Data with R, Springer, 2014

  2. G Csárdi, T Nepusz, EM Airoldi. Network Analysis with R/igraph. In preparation with Springer.

  3. T Nepusz, G Csárdi, EM Airoldi. Network Analysis with Python/igraph. In preparation with Springer.

Journal articles

  1. G Csárdi, AM Franks, DS Choi, EM Airoldi, DA Drummond. Accounting for experimental noise reveals that transcription dominates control of steady-state protein levels in yeast Under revision at PLOS Genetics.

  2. AM Franks, G Csárdi, DA Drummond, EM Airoldi. Estimating a structured covariance matrix from multi-lab measurements in high-throughput biology Journal of the American Statistical Association. Forthcoming. 2014.

  3. P Artimo, M Jonnalagedda, K Arnold, D Baratin, G Csárdi, ED Castro, S Duvaud, V Flegel, A Fortier, E Gasteiger, A Grosdidier, C Hernandez, V Ioannidis, D Kuznetsov, R Liechti, S Moretti, K Mostaguir, N Redaschi, G Rossier, I Xenarios, H Stockinger . ExPASy: SIB bioinformatics resource portal Nucleic acids research. 40:W597-W603. 2012.

  4. V Verdier, G Csárdi, AS de Preux‐Charles, JJ Médard, AB Smit, MHG Verheijen, S Bergmann, R Chrast. Aging of myelinating glial cells predominantly affects lipid metabolism and immune response pathways Glia. 60:751–760. 2012.

  5. D Brawand, M Soumillon, A Necsulea, P Julien, G Csárdi, P Harrigan, M Weier, A Liechti, A Aximu-Petri, M Kircher, FW Albert, U Zeller, P Khaitovich, F Grützner, S Bergmann, R Nielsen, S Pääbo, H Kaessmann. The evolution of gene expression levels in mammalian organs. Nature. 478:343–348. 2011.

  6. CN Henrichsen, G Csárdi, MT Zabot, C Fusco, S Bergmann, G Merla, A Reymond. Using Transcription Modules to Identify Expression Clusters Perturbed in Williams-Beuren Syndrome PLoS computational biology. 7:e1001054. 2011.

  7. A Lüscher, G Csárdi, AM de Lachapelle, Z Kutalik, B Peter, S Bergmann. ExpressionView – an interactive viewer for modules identified in gene expression data. Bioinformatics. 26:2062–2063. 2010.

  8. G Csárdi, Z Kutalik, S Bergmann. Modular analysis of gene expression data with R Bioinformatics. 26:1376–1377. 2010.

  9. R Liechti, G Csárdi, S Bergmann, F Schütz, T Sengstag, SF Boj, JM Servitja, J Ferrer, L Van Lommel, F Schuit, S Klinger, B Thorens, N Naamane, DL Eizirik, L Marselli, M Bugliani, P Marchetti, S Lucas, C Holm, CV Jongeneel, I Xenarios. EuroDia: a beta-cell gene expression resource. Database 2010:baq024. 2010.

  10. KJ Strandburg, G Csárdi, J Tobochnik, P Erdi, L Zalányi. Patent citation networks revisited: signs of a twenty-first century change. North Carolina Law Review. 87:1657. 2008.

  11. G Csárdi, KJ Strandburg, L Zalányi, J Tobochnik, P Érdi. Modeling innovation by a kinetic description of the patent citation system. Physica A: Statistical Mechanics and its Applications. 374:~783–793. 2007.

  12. KJ Strandburg, G Csárdi, J Tobochnik, P Érdi, L Zalányi. Law and the Science of Networks: An Overview and an Application to the `Patent Explosion’ Berkeley Technology Law Journal. 21:~1293. 2007.

  13. L Zalányi, G Csárdi, T Kiss, M Lengyel, R Warner, Jan Tobochnik, P Érdi. Properties of a random attachment growing network. Physical Review E. 68:~066104. 2003

  14. F Bazsó, L Zalányi, G Csárdi. Channel noise in Hodgkin–Huxley model neurons. Physics Letters A. 311:~13–20. 2003.

Book chapter

  1. G Csárdi, KJ Strandburg, J Tobochnik, P Érdi. The inverse problem of evolving networks – with application to social nets, in Handbook of Large-Scale Random Networks edited by B Bollobás, R Kozma, D Miklós. 409–443. 2008.

Refereeed Conference Proceedings

  1. G Csárdi, K Strandburg, L Zalányi, J Tobochnik, P Érdi. Estimating the dynamics of kernel-based evolving networks, in Unifying Themes in Complex Systems, Proceedings of the Sixth International Conference on Complex Systems, edited by A Minai, D Braha, Y Bar-Yam. 90–97. 2008.

  2. G Csárdi. Dynamics of Citation Networks, in Artificial Neural Networks – ICANN 2006, edited by SD Kollias, A Stafylopatis, W Duch, E Oja. 698–709. 2006.

  3. G Csárdi, T Nepusz. The igraph software package for complex network research InterJournal Complex Systems 1695. 2006.



Available on request.