Core Team
Kacper Ozieblowski
Multimodal AI
Master StudentAbout
Kacper Ozieblowski is a computer scientist working at the intersection of AI and infrastructure. He is contributing to the infrastructure behind TimeNet, the meta-dataset for the future time-series language models. Outside of ASL Kacper worked on low-latency networking at Citadel Securities, strategy unification at Optiver, computer vision algoritms at IBM and petabyte data analysis pipelines at Attention. His work revolves around multiple domains from LMs, classical ML to theoretical CS and infrastructure.
Research Areas
Project
TimeNet: A Standardized Meta-Dataset for Time-Series Language Models
TimeNet is an initiative to build a standardized evaluation benchmark and an initial corpus of training datasets for time-series language models (TSLMs), inspired by ImageNet’s role in computer vision. Currently, almost no time-series datasets exist with textual annotations — and the few that do contain mainly descriptions or context rather than interpretation or reasoning. TimeNet aims to lay the groundwork for the community to collaboratively fill this gap.
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Students
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