Jianguo Wang, Ph.D.

Database Engineer
Aurora Cloud Database Team
Amazon Web Services, Palo Alto

Email: csjgwang@cs.ucsd.edu

I'll join Purdue University (CS Department) in Fall 2020 as a tenure-track assistant professor!

I'm looking for highly motivated PhD / master students in data management systems. Please contact me if you're interested in working with me.


Jianguo Wang is currently a database engineer at Amazon Web Services (AWS), where he works on Amazon Aurora, a distributed database built for the cloud. In particular, he is working on Aurora Globally-Distributed Database, which spans multiple AWS regions, and most importantly, horizontally scales SQL database in the cloud.

Before that, he worked as an intern at Oracle, Microsoft Research, Samsung, and Tencent.

He received his PhD degree (Dec 2018) in Computer Science from University of California, San Diego, co-supervised by Prof. Yannis Papakonstantinou and Prof. Steven Swanson; his Mphil degree in Computer Science from The Hong Kong Polytechnic University, co-advised by Prof. Eric Lo and Prof. Man Lung Yiu; and his BEng degree in Computer Science from Zhengzhou University

Research Interests

  • Database systems, e.g., cloud databases, distributed databases, storage engine, index management, transactions

  • Search engine systems, e.g., index, compression, cache, query optimization

  • Modern hardware, e.g., SSD, NVRAM, in-storage computing, SIMD, GPUs

  • Working Experience

    • Aurora Cloud Database Team, Amazon AWS, Palo Alto, CA   03/2019 - present

    • [PhD Research] University of California, San Diego, CA   09/2013 - 12/2018
      • Project 1: Big Data Analytics in Protein Databases (part of NSF 1759980)
      • Project 2: Query Processing on Compressed Data in Main Memory Databases (part of NSF 1447943)
      • Project 3: Re-Architecturing Search Engine Systems for New Hardware Platforms (part of NSF 1219125)

    • [Intern] Oracle Advanced Development Group, Oracle Inc, Redwood Shores, CA   06-09/2018
      • Project: Bloom Filter Compression for In-Memory Databases

    • [Intern] MSR Database Group, Microsoft Research, Redmond, WA   06-09/2015

    • [Intern] Samsung System Architecture Lab, Samsung Inc, San Jose, CA   06-09/2014


    • Bests of the International Conference on Database Theory (ICDT) 2019