Bring AI into your mathematical research to probe ideas, test new directions,
and speed up hypothesis exploration.
Explore math projects, research papers, and coding tasks in the course created by mathematicians and AI experts.
Get expert advice on how to make AI tools and techniques part of your own research workflow.
Build expertise in AI-assisted coding, training and using LLMs, and searching for examples and counterexamples with RL and tools like AlphaEvolve.
Lectures take place at the London Institute for Mathematical Sciences (LIMS) Wednesdays, 10:00 am – 1:00 pm
Running massive math experiments with the help of coding assistants. LLMs as research assistants.
From linear models to neural networks: when AI models are useful and when they are not; data collection; model training.
Mathematical data as sequences: from individual formulas to statements and proofs. The use of transformers and LLMs.
Speeding up search in huge search spaces. Algorithm optimization with AlphaEvolve and its open-source analogs. Reinforcement Learning.
You can go through our learning materials at your own pace on GitHub. We’ll update the repository before the course starts.
If you are a mathematician or theoretical physicist, comfortable with Python and curious about using AI in your research, this course is a good fit.
We welcome all interested participants and will offer a short self-assessment task before the course starts to help you decide if your Python skills are at the right level.
Stanislav holds a PhD in Mathematics (Representation and Invariant Theory) and has 12+ years of experience creating top educational courses in math and AI. He recently returned to math research to make new discoveries through AI-assisted experimentation.
With a PhD in Mathematics and 10 years of experience in AI (RL, GenAI, deep learning architectures) and applied mathematics (optimal control, multi-agent systems, PDEs), Anton is now a machine learning researcher. He has 40+ publications in top-tier journals and at A* conferences.
Denis holds a PhD in Generative AI and has 10+ years of experience in this field. He co-authored 8 papers with 800+ citations. Over the past 5 years, Denis worked as an AI engineer, developing LLMs and AI agents for coding and other applications.
As Nebius's education and research arm, Nebius Academy helps professionals and teams apply AI in real workflows and support innovation.
Or email us at business.academy@nebius.com
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