@article {637282,
	title = {Learning Data Structure Alchemy},
	journal = {Bulletin of the IEEE Computer Society Technical Committee on Data Engineering},
	volume = {42},
	number = {2},
	year = {2019},
	pages = {46-57},
	abstract = {We propose a solution based on first principles and AI to the decades-old problem of data structure design. Instead of working on individual designs that each can only be helpful in a small set of environments, we propose the construction of an engine, a Data Alchemist, which learns how to blend fine-grained data structure design principles to automatically synthesize brand new data structures.},
	author = {Stratos Idreos and Kostas Zoumpatianos and Subarna Chatterjee and Wilson Qin and Wasay, Abdul and Brian Hentschel and Mike Kester and Niv Dayan and Demi Guo and Minseo Kang and Yiyou Sun}
}
