My research agenda addresses quantitative problems in evolutionary and developmental biology by using a combination of computational, mathematical and experimental tools. Starting with biologically relevant models, we comb for data from existing studies, and in close collaboration with experimentalists, we generate new data. In turn, this data allows us to refine the models, thus guiding both experimental and modeling processes. The ability to test models in this way is facilitated by data generated from systematic genomics efforts undertaken in recent years. Central to my approach is an evolutionary perspective in examining the hypotheses arising from the combination of theoretical model and biological data.

Mark L. Siegal, Daniel Promislow and Aviv Bergman, 2005, Functional and evolutionary inference in gene networks: Does topology matter? Genetica, special issue on "The microevolution of development: Patterns, processes, and mechanisms".

Aviv Bergman and Mark L. Siegal, 2003, Evolutionary Capacitance as a General Feature of Complex Gene Networks. Nature 424, 549-552.

Joanna Masel and Aviv Bergman, 2003, The Evolution of the Evolvability Properties of the Yeast Prion [PSI+]. Evolution 57(7) 1498-1512.

Mark L. Siegal and Aviv Bergman, 2002, Waddington's Canalization Revisited: Developmental Stability and Evolution. Proceedings of the National Academy of Sciences USA Vol. 99 No. 16 10528-10532.

Samuel Karlin, Luciano Brocchieri, Aviv Bergman, Jan Mrzek and Andrew J. Gentles, 2002, Amino Acid and Charge Runs in Complete Eukaryotic Genomes and Disease Associations. Proceedings of the National Academy of Sciences USA Vol. 99 No. 1 333-338.

Samuel Karlin, Aviv Bergman and Andrew Gentles, 2001, Annotation of the Drosophila genome. Nature 411, 259-260.