Resume

Roles

Senior Research & Development Engineer

January 2026 – Present

Luminance (Cambridge, UK)

• Built an evaluation in the UK AISI's Inspect AI framework to validate LLM performance in Deep Insights extraction engine
• Driving a research project to evaluate model choice and architecture design impacts on engine performance

Research & Development Engineer

October 2024 – January 2026

Luminance (Cambridge, UK)

• Eval-driven performance optimisation for data extraction from legal contracts
• Initial member of the Deep Insights team, building a feature that combines an agentic researcher with a scalable and reliable asynchronous LLM-based data extraction engine
• Developed a performant and lightweight agent framework to power production agents

Publications

Rapid cryogenic characterisation of 1024 integrated silicon quantum dots

Edward J. Thomas, Virginia N. Ciriano-Tejel, David F. Wise, Domenic Prete, Mathieu de Kruijf, David J. Ibberson, Grayson M. Noah, Alberto Gomez-Saiz, M. Fernando Gonzalez-Zalba, Mark A. I. Johnson and John J. L. Morton.

arXiv preprint arXiv:2310.20434 (2023).

Posters

Automated Detection and Statistical Analysis of Coulomb Blockade Peaks in 520 Single Quantum Dot Devices

Edward J. Thomas, Mathieu de Kruijf, Mark A. I. Johnson, Grayson Noah, M. Fernando Gonzalez-Zalba and John J. L. Morton.

Silicon Quantum Electronics Workshop (2022), Orford QC, Canada.

Presentations

Rapid Characterization of 1024 Single Quantum Dots with On-Chip Addressing and Automated Analysis

Edward J. Thomas, Mark A. I. Johnson, Domenic Prete, Mathieu de Kruijf, Tom Swift, David Wise, Virginia Ciriano-Tejel, Jonathan Warren, James Kirkman, Grayson Noah, Alberto Gómez Saiz, John J. L. Morton and M. Fernando Gonzalez-Zalba.

Quantum Computing and Simulation Hub Winter Project Forum (2023), Oxford, UK.

Internships & Teaching

Machine Learning Intern

March 2024 – June 2024

Speechmatics (Cambridge, United Kingdom)

• Developed a multimodal audio language model, capable of responding to text-based questions about audio inputs
• Implementation in Python using PyTorch, combining open-source large language model and audio encoder with tuneable projection layer between audio and LLM embedding spaces
• Tested and evaluated on open datasets for optimisation of the architecture to achieve performance improvements

Postgraduate Teaching Assistant

2020 – 2022 (Part-time)

University College London (London, United Kingdom)

• Scientific Python - practical demonstration and marking
• Quantum circuits, Semiconductor physics - live tutorial session and marking
• Developing effective communication for scientists - hosted session for students' final presentations, marking of presentations and essays

Semiconductor Physics Summer Internship

June 2017 – August 2017

Cavendish Laboratory, University of Cambridge (Cambridge, United Kingdom)

• Development of a surface acoustic wave miniaturised mass sensor for detection of adsorbed substances, with medical applications
• Work was undertaken in electronics and chemical labs in collaboration with visiting student
• Wrote software in Matlab to analyse high-frequency sound speed measurements

Research And Development Intern

July 2015 – August 2015

Cyrus Audio (Huntingdon, United Kingdom)

• Software development for proprietary hardware control and Android application using Java, C and Python
• Wrote hardware tests based on an infrared remote control operated by a Raspberry Pi computer

Education

PhD Quantum Engineering

September 2019 – July 2024

University College London and Quantum Motion (London, United Kingdom)

• Title: Automation and Scaling of Fast Charge Readout in Silicon Quantum Dots
• Project focus was a fast platform for measuring new silicon quantum dot designs and evaluating whether they could form effective host structures for spin qubits
• Charge readout was made faster with reflectometry; here, the resonator required (with large footprint) could be shared between quantum dots by using a multiplexer switch to connect each to the resonator in turn
• Designed and assembled printed circuit boards (PCBs), made cryogenic measurements of quantum dots connected via a multiplexing switch to shared readout circuit and analysed data to benchmark speed and sensitivity
• As well as investigating multiple discrete multiplexer parts separate from the quantum dot chip, the throughput was increased to 1024 dots in one experiment by using switching electronics integrated on the same chip as the dots
• Contributed to design and implementation of automated control and analysis code for a measurement on this scale

MRes Quantum Technologies

September 2018 – August 2019

University College London (London, United Kingdom)

BA & MSci Natural Sciences

October 2014 – June 2018

University of Cambridge (Cambridge, United Kingdom)

• Physics specialization, with a focus on Condensed Matter Physics and Quantum Information