Theodore Vasiloudis
Theodore Vasiloudis is a Machine Learning researcher at the Swedish Institute of Computer Science (SICS) and a PhD Candidate at KTH Royal Institute of Technology. His main research interests include large-scale machine learning, graph processing and natural language processing. He is also a contributor to the machine learning library for Apache Flink, FlinkML.
Theodore Vasiloudis graduated from the school of Computer Science in the Aristotle University of Thessaloniki. He continued with a Master's in Machine Learning (ML) at KTH Royal Institute of Technology, during which he performed his thesis at Spotify, working on context-aware recommender systems.
During a 3 month internship at Data Artisans in Berlin he worked on designing and implementing the Machine Learning library for Apache Flink, FlinkML.
He is currently a researcher at the Swedish Institute of Computer Science (SICS) and a PhD Candidate at KTH. He has been working on data mining techniques and graph processing, and his interests include among others distributed ML systems and algorithms and resource-efficient ML.
Links
Events
| Title | Day | Room | Track | Start | End |
|---|---|---|---|---|---|
| FlinkML: Large Scale machine learning for Apache Flink | Sunday | AW1.126 | HPC, Big Data and Data Science | 09:05 | 09:30 |