![]() Aurora Cloud Database Team, Amazon AWS, Palo Alto, CA 03/2019 - 07/2020.Project: Milvus: A Purpose-Built Vector Database System.Milvus Vector Database Team, Zilliz, Remote 07/2020 - 12/2020.Assistant Professor, Department of Computer Science, Purdue University 01/2021 - Present.Serverless Vector Databases for Cost-Efficiency and Elasticity.Supporting Vector Data Management inside Relational Databases.Vector Databases (for Large Language Models).Distributed Shared-Memory & Distributed Shared-Storage Databases.Disaggregated Databases (for the Cloud).Currently, I'm leading a team of students working on: In general, I'm interested in new database systems for non-traditional architecture and non-traditional data. ![]() He obtained his PhD degree in Computer Science from the University of California, San Diego, his MPhil degree from The Hong Kong Polytechnic University, and his Bachelor's degree from Zhengzhou University, China. ![]() He also interned at Microsoft Research, Oracle, and Samsung on various aspects of database systems. Before that, he worked at Amazon Web Services (AWS) on Amazon Aurora, a cloud-native database system. Prior to joining Purdue, he worked at Zilliz on Milvus, a purpose-built vector database system, which has been used in many data science applications including ChatGPT. Her graduated PhD students joined Penn State, Iowa State and Georgia State University as tenure-track faculty, and industry labs such as Google Research and Alibaba DAMO Academy as research scientists.Jianguo Wang is currently a tenure-track assistant professor in the Department of Computer Science at Purdue University. She is a proud advisor of many excellent current and former PhD students. She has taken leadership roles in the community, as shown in her editorship with ACM Transactions on Intelligent Systems and Technology, and senior program committee membership in the top conferences in data mining. Jing is a recipient of NSF CAREER Award, ICDM Tao Li Award and SDM/IBM Early Career Data Mining Researcher Award. In particular, she is interested in information veracity analysis, crowdsourcing, knowledge graphs, multi-source data analysis, text mining, anomaly detection, transfer learning, data stream mining as well as various data mining applications in healthcare, social science, transportation, cybersecurity and education. She is broadly interested in data and information analysis with a focus on data mining. ![]() Before joining Purdue, she was an Associate Professor in the Department of Computer Science and Engineering at the University at Buffalo. She is an Associate Professor in the Elmore Family School of Electrical and Computer Engineering at Purdue University. In 2011, Professor Jing Gao graduated with a PhD from the Grainger College of Engineering at the University of Illinois Urbana-Champaign. MCS On-Campus General Advising for RegistrationĢ022 Early Career Academic Achievement Alumni Award.Graduate Student Annual Evaluation Process.Graduate Forms, Thesis & Advising Resources.Illinois Computing Accelerator for Non-Specialists (iCAN).Online Master of Computer Science in Data Science.Professional Master of Computer Science.
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