cv
Basics
Name | Lucia Cipolina-Kun |
Label | AI Researcher |
Url | https://www.linkedin.com/in/luciacipolina/ |
Summary | AI researcher with focus on Mathematics, Reinforcement Learning and LLMs. |
Education
Work
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2024.07 - 2024.12 London, UK.
Student researcher.
Google DeepMind.
Developed a methodology based on multi agent cooperation for AI agents.
- AI agents
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2024.03 - 2024.07 Cologne, Germany.
Visiting researcher.
Juelich Supercomputing Centre.
Research on high performance computing applied to LLM reasoning.
- LLM evaluation
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2023.07 - 2024.03 London, UK.
Intern in the Reinforcement Learning team.
JPMorgan AI Research.
Developed a methodology based on Reinforcement Learning for automatic trading.
-
2023.05 - 2023.05 London, UK.
Intern in the collection rehang.
TATE Britain.
Applied diffusion models to show restorations on the historical collection.
-
2021.05 - 2021.09 Washington, USA.
Intern in the Bing - Analytics and Data Sciences team.
Microsoft Bing.
Developed an algorithm based on Reinforcement Learning for automatic ad bidding.
-
2017 - 2020 New York, USA.
Vice President in the Front Office Quantitative Research team.
Morgan Stanley, US.
C++ developer. Implementation of diffusion models and ML for the Prime Brokerage business.
Awards
- 2023
Research grant
Helmholtz Association of German Research Centers.
- 2023
Best student poster award (link)
First Workshop of Multimodal AI
- 2022
Best student poster award (link)
Mediterranean Machine Learning Summer School
Awarded for our work on restoration of cultural heritage using diffusion models.
- 2020
Bronze Medal (link)
Lyft Motion prediction competition
Computer vision and reinforcement learning applied to motion prediction.
- 2020
Skills
Mathematics | |
Machine learning | |
Reinforcement learning | |
Game theory | |
Stochastic calculus | |
Cultural humanities |