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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.
Experience
- F-PrimeData Scientistcurrent2025 β presentCambridge, Massachusetts, United States
- MIT Department of PhysicsUndergraduate Researcher - Developing an Agentic LLM-based Copilot System for LHCb Analysis.2025Cambridge, Massachusetts, United States
- MIT Department of PhysicsUndergraduate Researcher - Commissioning Allen and developing alternative Electron ID algorithms2024 β 2025Cambridge, Massachusetts, United States
- MIT Department of PhysicsUndergraduate Researcher - Data commissioning of Allen for LHCb2024Cambridge, Massachusetts, United States
- MIT Center for Computational Science & EngineeringUndergraduate Teaching Assistant - MIT C20 Introduction to Computational Science and Engineering2024Cambridge, Massachusetts, United States
- MIT Department of PhysicsUndergraduate Teaching Assistant - MIT 8.01 Physics2021Cambridge, Massachusetts, United States
- MIT Kavli Institute for Astrophysics and Space ResearchUndergraduate Researcher - Undiscovered exoplanets in the TESS dataset2020Cambridge, Massachusetts, United States
Skills & more
+12 more
LearningSciPyData AnalyticsComputingMachine Learning AlgorithmsData VisualizationObject-Oriented Programming (OOP)Data ModelingComputer ScienceProgramming LanguagesArtificial Intelligence (AI)Data Science- LLM Course Unit 3: Fine-tuning Language Models β Hugging Face
- IBM Machine Learning with Python β IBM
From Tenzin's professional profile.
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.
- Where did Tenzin Jampa go to school?
- Tenzin Jampa studied at Massachusetts Institute of Technology (Bachelor's degree, Physics, Philosophy); Claremont Independent School (High School Diploma, Physics, Maths, Further Maths).
Same school
Also attended Massachusetts Institute of Technology2,000
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