Jens d’Hondt
I’m Jens, a PhD candidate at TU/e with a passion for scalable algorithms and data-driven solutions.
About
I’m Jens, a PhD candidate at TU/e with a passion for scalable algorithms and data-driven solutions. My research focuses on large-scale similarity search and time-series analysis, with publications in top venues like VLDB and SIGMOD. I enjoy bridging theory and production, delivering ML pipelines and systems that handle terabytes of data in real-world settings.
Beyond research, I thrive in collaborative environments, mentoring students, and building end-to-end data solutions—from data engineering on massive datasets to robust ML experimentation and deployment. I’m always eager to explore interdisciplinary problems and share knowledge with the broader community.
- 5 years' experience
- Joined September 2025
Skills· 18
Languages
- EnglishFluent
- DutchFluent
- FrenchAdvanced
- GermanAdvanced
Industry experience
- Education
- Software & Internet
- Professional Services
- Other
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Work experience· 6 roles
Created data-driven applications and performed statistical analyses for clients leveraging Angular, Python, Spark, and Kafka.
Developing scalable algorithms for large-scale similarity search; leading research in time series analysis with multiple top-tier publications (VLDB, SIGMOD); technical lead on an EU-funded project, designing ML pipelines for remote sensing at TB-scale.
Creation and implementation of data-driven applications, performing statistical analyses for clients leveraging Angular, Python, Spark, and Kafka.
Education· 6
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