Alex Conway

Alex Conway is an Assistant Professor in the Department of Computer Science at Cornell Tech, part of Cornell University. His research focuses on randomized data structures and their applications to memory and storage systems, bridging theoretical ideas with practical system design. Key projects include SplinterDB (a high-performance key-value store), Mosaic Pages (virtual memory optimization), and Iceberg Hash Tables (space-efficient hash tables). These systems are deployed in products like VMware vSAN 8.0 and are open-sourced on GitHub.

His work spans Fast Algorithms, Storage Systems, and Data Structure Theory, with contributions to conferences like SIGMOD, FAST, and ASPLOS. Notable awards include the ASPLOS 2023 Distinguished Paper Award and invitations to special journal issues for impactful papers. He collaborates extensively with industry partners and academic researchers, emphasizing real-world impact alongside theoretical rigor.

• Research Themes: Algorithm-System Co-Design, Storage Efficiency, High-Performance Computing
• Key Projects: SplinterDB, Mosaic Pages, Iceberg Hash Tables, Tiny Pointers
• Influential Papers: 'Optimal Ball Recycling' (SODA 2019), 'Online List Labeling' (FOCS 2022)

His academic career reflects a commitment to advancing systems through foundational research, with over 25 publications in top-tier venues. He actively contributes to open-source software ecosystems and advises initiatives like the Security, Trust, and Safety (SETS) initiative at Cornell Tech.