Evidence discovery at research scale
A local Python and LLM-assisted workflow for finding, structuring and reviewing research impact evidence during an internship with the University of Bath.
- Python
- Local LLMs
- Evidence synthesis
Physics with Theoretical Physics · University of Bath
Applying mathematical reasoning and computation to complex systems, from stochastic finance to research-evidence automation.
01 / Selected work
Selected work across research, quantitative modelling and interdisciplinary engineering.
A local Python and LLM-assisted workflow for finding, structuring and reviewing research impact evidence during an internship with the University of Bath.
An active exploration of Black-Scholes, geometric Brownian motion and Monte Carlo pricing, with automated tests and analysis of convergence and numerical error.
Collaborative software and technical documentation supporting an interdisciplinary team developing intelligent assistive prosthetic technology.
02 / About
I'm studying BSc Physics with Theoretical Physics with Professional Placement at the University of Bath. The course explores the deep relationship between mathematics and theoretical physics while developing scientific computing, theoretical modelling and experimental skills.
My work spans quantitative modelling, research impact analysis and interdisciplinary engineering. Across each, I'm drawn to the same process: define the problem carefully, build something testable, examine its limits and communicate the result clearly.
Through laboratory work, scientific computing and collaborative projects, I am developing a practical understanding of measurement, applied statistics and the mathematical techniques used to describe physical systems. I want to apply that training to problems in finance, technology and research during my professional placement.
Research spotlight / 2026
University of BathResearch & Impact Intern · Bath Insights
Supporting the University's research-impact work across policy, health and environmental domains. The work combines evidence synthesis with a locally run automation workflow.
03 / Experience
Technical curiosity supported by collaboration, communication and responsibility.
University of Bath
Collaborative software, web infrastructure and technical documentation for an interdisciplinary assistive-technology team.
Team Bath Racing Electric
Contributed to control and motion-planning work within a multidisciplinary Formula Student engineering environment.
University of Bath
Representing the university and communicating clearly with prospective students and families across major events.
EDT & GE Vernova
Led a year-long engineering design project from evaluation through to a formal presentation for industry stakeholders.
04 / Recognition
Gold Award · top approximately 5% nationally
Gold Award · engineering project with GE Vernova
90% · Electrical Properties of a Tungsten Filament Lamp
1st place · team leadership and resource allocation
05 / Contact