Zoi Kaoudi

Zoi Kaoudi

IT University of Copenhagen

Zoi Kaoudi is an Associate Professor in the Computer Science Department at the IT University of Copenhagen (ITU) and the VP/PMC Chair of Apache Wayang. Her current research focus is on (i) leveraging machine learning techniques for data-intensive systems, (ii) improving the performance and ease of use of machine learning systems, and (iii) advance knowledge graph embeddings with ontologies and logical reasoning. Before joining ITU, she has held positions in various places around the world. She has worked as a Senior Researcher at the Technical University of Berlin, as a Scientist at the Qatar Computing Research Institute (QCRI), as a visiting researcher at IMIS-Athena Research Center, and as a postdoctoral researcher at Inria Saclay. She received her Ph.D. from the National and Kapodistrian University of Athens in 2011. She has co-authored articles in both database and ML communities and served as a member of the Program Committee for several international database conferences. She has received the best demonstration award at ICDE 2022 for her work on training data generation for learning-based query optimization.

Sessions

Data Science
Scale
Store

Why Choose One: Multi-Engine Analytics with Apache Wayang

Talk
Choosing the best engine for each data task sounds right, but in modern data stacks doing so requires expertise and effort. Apache Wayang, a recently graduated TLP, addresses this by decoupling logical dataflows from execution engines. From big data platforms to SQL and ML engines, Wayang enables cross-platform execution that maximizes performance.