Jennifer T. Chayes

References

http://research.microsoft.com/en-us/um/people/jchayes/
- QUOTE: Chayes is well known for her work on phase transitions, in particular for laying the foundation for the study of phase transitions in problems in discrete mathematics and theoretical computer science; this study is now giving rise to some of the fastest known algorithms for fundamental problems in combinatorial optimization. Chayes is one of the world's experts in the emerging field of network science, particularly in its mathematical and algorithmic foundations. She is well known for her work in the modeling and analysis of random, dynamically growing graphs, which are used to model the Internet, the World Wide Web, social networks, and networks in computational biology. Chayes is one of the inventors of the field of graph limits (graphons), which are now being used extensively in the machine learning of massive networks, both theoretically and in practice. Among Chayes' contributions to Microsoft technologies are the development of methods to analyze the structure and behavior of various networks, the design of auction algorithms, and the design and analysis of various business models for the online world.

(Borgs et al., 2008) ⇒ Christian Borgs, Jennifer T. Chayes, László Lovász, Vera T. Sós, and Katalin Vesztergombi. (2008). “Convergent Sequences of Dense Graphs I: Subgraph Frequencies, Metric Properties and Testing." Advances in Mathematics 219, no. 6

(Borgs et al., 2007) ⇒ Christian Borgs, Jennifer Chayes, Nicole Immorlica, Kamal Jain, Omid Etesami, and Mohammad Mahdian. (2007). “Dynamics of Bid Optimization in Online Advertisement Auctions.” In: Proceedings of the 16th International Conference on World Wide Web (WWW 2007). doi:10.1145/1242572.1242644