Alex Conway is an Assistant Professor in the Department of Computer Science at Cornell Tech. His research primarily focuses on randomized data structures and their applications in memory storage systems. Throughout his academic career, he has engaged in innovative research projects that aim to leverage theoretical ideas to develop new systems designed for real-world use. Notably, he has contributed to the development of SplinterDB, which utilizes a theoretically optimal data structure, the Mapped Bε-tree, to create a general-purpose key-value store with exceptional performance in modern computing environments. Conway's research has been published in leading conferences such as ICALP, ATC, and SIGMOD. His work includes pioneering advancements in load-balancing and hash table design, which are key components in contemporary data structures. In addition to his research contributions, he is actively involved in open-source projects aimed at enhancing the efficiency of data management systems.
Cornell Tech • New York, NY
Researching and teaching in the field of computer science, focusing on randomized data structures and memory storage systems.