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Alexander Nestor-Bergmann
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Alexander Nestor-Bergmann

Quantitative Researcher
Machine Learning Engineer

Unsigned Research

University of Cambridge

I am a machine learning engineer and quantitative researcher with a background in mathematics, physics and biological theory. I started in academic research, building mechanistic and statistical models of living systems, and now build production ML, AI and trading systems at Unsigned Research.

As CTO and Lead Research Engineer at Unsigned Research, I work across model research, validation, data pipelines, agentic AI and live trading infrastructure. That work combines statistical modelling, low-latency execution and high-stakes production engineering, where robustness, monitoring and operational discipline matter as much as model performance.

I also build scientific software for complex data workflows, including analytics platforms for scientific companies. My public work spans mathematical biology, simulation software, transformers/LLMs, and agentic AI.

Interests

  • Statistics
  • Machine Learning
  • Agentic AI and LLMs
  • Quantitative Research
  • Production Trading Systems
  • Computational Biology

Education

  • PhD in Biological Mathematics, 2017

    University of Manchester

  • Masters in Mathematics and Physics, 2013

    University of Manchester

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