Lewis Dunne

I am a software engineer with a PhD in psychology. I discovered a passion for programming during my research and chose to pursue it further, making it my profession. I am particularly interested in data science/analysis, data visualisation, and back-end web development.

Technical Skills Summary

Languages: Python, Java, JavaScript/TypeScript, SQL
Technologies: Docker, Kubernetes, Git, Linux
Specialisations: Back-end web development, data analysis & visualisation

Experience

Software Engineer, Reserve & Charge (2023 - present)

I work on a cloud-based system that allows electric vehicle drivers to reserve charge points in advance of their stay. My responsibilities involve:

Developing and maintaining distributed microservices in Python and Java, including APIs for reservations, payments, and reservation session management
Managing containerised deployments using Docker, Kubernetes, and GitLab CI/CD
Designing and optimising PostgreSQL schemas and queries for performance and reliability
Working closely with our lead developer on architecture decisions, technical planning, and shaping the system design
Developing our automated testing procedures, covering unit, integration, and end-to-end tests
Adding new features to our Angular dashboard application
Implementing our Keycloak IAM setup, including writing configuration migration scripts and developing an internal admin interface to automate onboarding

Software Developer/Data Scientist, Accelogress (2020-2021)

Client project: Via Verde

Via Verde - analysed 120 million+ toll and parking transactions to understand travel behaviour across the city of Porto.

Implemented data processing pipeline using Apache Airflow
Carried out large-scale descriptive and clustering analyses using Spark and Scikit-Learn

Client project: Oxford Quantum Circuits (OQC)

Oxford Quantum Circuits - Supported development of their Quantum Computing as a Service (QCaaS) platform.

Developed a REST API using Flask and PostgreSQL, with websockets for real-time job updates
Integrated a message queue system to handle asynchronous task processing and job scheduling
Built a Python SDK for client interaction
Containerised components using Docker for deployment

Research Assistant, University of Surrey (2014-2020)

Carried out neurostimulation research to investigate its use for post-stroke rehabilitation
Collected mobile EEG data to study cognitive processing during physical activity
Developed & carried out EEG research into belief bias in logical reasoning
Developed data preprocessing and analysis pipelines for electrophysiological data using Python
Collected, processed, & analysed fMRI data for a National Trust study

Teaching Assistant, University of Surrey (2016, 2019-2020)

Demonstrated & taught the use of physiological methods for psychological research
Assisted students in understanding how to analyse data

Education

PhD Psychology & Cognitive Neuroscience, University of Surrey (2016-2022)

Thesis: The influence of visual attention on memory encoding & recognition

Used a combination of fMRI, eye tracking, and behavioural techniques to study how modes of attention during learning affect recognition memory
Programmed & applied computational models of recognition memory to empirical data
Programmed experimental tasks to measure cognition (recognition memory, visual attention, working memory)
Made extensive use of Python for data processing, analysis, and visualisation

MSc Research Methods in Psychology, University of Surrey (2013-2014)

Thesis: Environmental context effects on recognition memory and its EEG correlates

BSc (Hons) Psychology, De Montfort University (2009-2012)

Thesis: Mathematical training & susceptibility to cognitive biases

Publications

Dunne & Opitz (2019) Attention control processes that prioritise task execution may come at the expense of incidental memory encoding

Minarik et al. (2015) Effects of Anodal Transcranial Direct Current Stimulation on Visually Guided Learning of Grip Force Control

Hobbies & Interests

Guitar, strength training, Poker, coding