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About
Tenzin Jampa is a Data Scientist at F-Prime and a graduate of MIT in Physics and Philosophy. As an undergraduate researcher, Jampa built a deep learning pipeline to classify particles from CERN LHCb collision data, developed benchmarking frameworks for semantic retrieval over physics literature, and created an open-source symbolic algebra library in Python, with additional work fine-tuning domain-specific language models such as PhysBERT and integrating knowledge graphs into Retrieval-Augmented Generation systems. Jampa also writes essays and hosts podcasts on technical and philosophical topics.
Colleagues at F-Prime Capital
Frequently asked questions
- Who is Tenzin Jampa?
- Tenzin Jampa is a Data Scientist at F-Prime and a graduate of MIT in Physics and Philosophy. As an undergraduate researcher, Jampa built a deep learning pipeline to classify particles from CERN LHCb collision data, developed benchmarking frameworks for semantic retrieval over physics literature, and created an open-source symbolic algebra library in Python, with additional work fine-tuning domain-specific language models such as PhysBERT and integrating knowledge graphs into Retrieval-Augmented Generation systems. Jampa also writes essays and hosts podcasts on technical and philosophical topics.
- Where does Tenzin Jampa work?
- Tenzin Jampa is Data Scientist at F-Prime Capital.
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