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Adrian Mircea Nenu computo, ergo sum
← Education

// The University of Manchester

Ph.D. in Computer Science & A.I.

2025 - present UK
My research interests revolve around reinforcement learning and generative model reasoning. I am exploring ways to improve policy optimisation with policy gradients and expectation maximisation. I want to push the boundaries of world models and how they can support reasoning models (not limited to or even focused on LLM's, but also control, robotics, physics, gaming).

Attended
- Poster TAROS 2026, UKAIRS 2026
- Learning Theory Summer School (June 22-25, 2026)
Teaching Assistant
- COMP38311 Advanced Distributed Systems
- COMP63101 Formal Methods for Software Verification Security and Computer Science
- COMP16321 Introduction to Programming

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Latest writing

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Training a 14M GPT to Generate Children Stories in 20 Minutes: Pretraining, SFT, and Direct Preference Optimization

End to end implementation, parameter and architecture analysis, and light evaluation of the checkpoints

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Could Actor Systems Be All We Need for Agentic AI Workflows

Are We Reinventing the Wheel of Actor Systems as We Develop Agentic Orchestration for AI?

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Is Computer Science a Worthwhile Pursuit Today?

As of 2026, It Will Most Certainly Endure the Test of Time, Albeit With a Raised Bar of Expectations

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