Technical Strengths

Statistics

Probabilistic modelling, experiment design, optimisation, model validation and out-of-sample testing.

Quant Research

Noisy time-series modelling, feature research, backtesting, risk-aware evaluation and live performance monitoring.

Trading Systems

Latency-sensitive execution code, production trading infrastructure, operational controls and monitoring.

Machine Learning and AI

Supervised/unsupervised learning, deep learning, time-series modelling, transformers, LLM tooling, RAG, agentic AI and workflow automation.

Scientific Software

Python, NumPy/SciPy, Pandas, Polars, PyTorch, TensorFlow, scikit-learn, Hugging Face, simulation and analysis tooling.

Full-Stack Systems

React, FastAPI, Django, SQL, PostgreSQL, Docker, Podman, Linux, Git, CI/CD and cloud deployment.

Experience

 
 
 
 
 

CTO, Co-Founder and Lead Research Engineer

Unsigned Research

2022 – Present
Hands-on technical lead for ML research, quantitative modelling, trading infrastructure and production systems.

  • I build statistical ML and research pipelines for low-signal time-series data.
  • I develop model validation workflows with out-of-sample testing, leakage controls, robustness checks and live monitoring.
  • I manage production trading systems, including latency-sensitive execution code, operational controls and automated reporting.
  • I’m actively working on agentic AI for research, operations and software workflows, architecting custom agentic systems, harnesses and tools.
  • I lead architecture and engineering standards for high-stakes systems where correctness, monitoring and reliability have direct financial consequences.
 
 
 
 
 

Postdoctoral Research Fellow

University of Cambridge

2018 – 2022 Cambridge, UK
Independent research in mathematical biology, computational biology and the theory of living systems.

  • Developed mechanistic and statistical models of active cell and tissue systems.
  • Analysed microscopy and cytometry datasets using computational modelling, cell tracking and segmentation workflows.
  • Built research software and contributed to open-source scientific computing projects.
 
 
 
 
 

Travelling Research Fellow

University of Queensland

2017 – 2018 Queensland, Australia
Built mathematical and computational models of tissue mechanics and mechanosensitive pathways.

Public Code

A few public educational resources I’ve put together.

ACAM Apposed-cortex model of epithelial tissue, implemented in Python for computational biology research.
hugging-face-llm-classifier Fine-tuning workflow for Hugging Face transformer models on text classification tasks.
pytorch-transformer-demo From-scratch PyTorch implementation and tutorial for the Attention Is All You Need transformer.
agents-mcp-demo MCP server template for connecting agents to tools and external capabilities.
ai-deep-research-assistant Agentic research assistant with web-searched evidence, citations and orchestration.

Scientific Publications

Selected recent research articles

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Selected Talks

Some selected talks with slides available for download

Characterising the mechanical properties of geometrically complex tissues is an essential step in understanding how cell behaviours can …
Apr 25, 2019 The University of Bath
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Characterising the mechanical properties of geometrically complex tissues is an essential step in understanding how cell behaviours can …
Nov 6, 2018 Institut Mittag-Leffler, Djursholm, Sweden
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Distinct mechanisms involving cell shape and mechanical force are known to influence the rate and orientation of division in cultured …
Nov 10, 2017 University of Queensland, Australia
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Contact

Get in touch if you’d like to discuss ML, AI systems, quantitative research or scientific software.