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AI-Fun & ELLIS Invited Speaker Series | Lucia Cipolina Kun

AI Fun & ELLIS image
Dates:10 June 2026
Times:11:00 - 12:00
What is it:Seminar
Organiser:Faculty of Science and Engineering
Who is it for:University staff, External researchers, Alumni, Current University students
Speaker:Lucia Cipolina Kun
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  • AI Fundamentals Website
  • Register to join online

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  • In category "Seminar"
  • In group "(DF) Data Science and AI"
  • By Faculty of Science and Engineering

June's invited speaker will be Lucia Cipolina Kun from Meta.

Lucia is a Research Scientist at META’s FAIR lab, working on large language model (LLM) agents for scientific discovery. Lucia's research focuses on developing novel techniques for the self-improvement of LLM agents and their application to coding and reasoning. She develops frameworks combining reinforcement learning, multi-agent systems, and game theory to study emergent behaviors in post-trained LLMs, with a focus on designing systematic evaluation protocols that assess their strategic reasoning, planning, and behavioral stability.

Lucia's professional background includes roles as a Student Researcher at Google DeepMind, developing novel techniques for multi-agent decision processes, and as a Research Intern at Juelich Supercomputing Center, focusing on high-performance computing, large-scale generative models and LLM evaluation. Lucia has also interned at JPMorgan AI Research optimizing reinforcement learning algorithms for trading, and at Microsoft AI, working on model-based offline reinforcement learning for Bing’s search and revenue management. Earlier in her career, Lucia worked as a front office quant at Morgan Stanley, Bank of America and HSBC in NY, implementing machine learning and diffusion models in C++.

If you are unable to attend in person, please use the Ticketsource link to register and you will receive details to join online.

Title and abstract to follow.

Speaker

Lucia Cipolina Kun

Role: Research Scientist

Organisation: META

  • https://lcipolina.github.io/

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Lecture Theatre 1.4
Kilburn Building
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