Tom Lodge Technical Product Owner
07972639571
tlodge@gmail.com
I am a Product Owner with a strong technical background in full-stack development and expertise in UX and design. I currently work in Healthtech and AI. Previously I've worked on and led a diverse range of projects; ranging from multi-institutional collaborations to agile, cutting-edge prototypes. I am an Honorary Assistant Professor at the University of Nottingham and my work has been published in respected academic journals across a range of disciplines; from novel 'on-edge' privacy-preserving architectures to immersive design fictions. I'm passionate about my work and I thrive in fast-paced, creative environments.
Key skills
I am a Certified Scrum Product Owner with the following set of technical and design skills:
Frontend skills
Languages:
Javascript (ES6), HTML5, CSS3
Coding Frameworks:
React (and React Native), Redux, Remix, Nextjs, D3js
Backend skills
Languages:
Javascript (Node), Python
OS:
Linux, MacOS
DevOps:
Docker,Nginx,Kubernetes
Hosting:
Digital Ocean, AWS, Vercel, Heroku, Github pages
Databases:
Postgres, Mongo, MySQL, Neo4j, Firebase/Firestore
Tools and Frameworks
Design
Figma, Affinity Designer
Productivity
Jira, Confluence, GSuite
Employment history
Blueskeye AI
Product Owner, Health
2022 - Current
Horizon Digital Economy Institute
Nottingham University
Research Fellow
2021 - 2022
Mixed Reality Lab
Nottingham University
Research Fellow
2013 - 2021
Open and Distance Learning unit
Queen Mary, University of London
Research Associate
2002 - 2005
Networks and Multimedia Research Group
UCL
Research Associate
2000 - 2002
Recent projects
TrueBlue Clinical Study
BlueSkeye, Notingham University Institute of Mental Health, NHS
2023 - present
I am the product owner for BlueSkeye AI's flagship health product. TrueBlue is an app that utilises our AI models to monitor perinatal and pre-natal women for depression; it analyses their facial expressions as they undertake a task. I have designed the app, evaluated it amongst clinicians and patient groups and have worked closely with the clinical lead and our R&D team to ensure our trial is successful.
Our Fertility Journey
BlueSkeye and Industry partners
2023 - present
I have designed and overseen the development of an app currently being used by patients at a prestigious fertility clinic in London. This is a collaboration with the clinic, Blueskeye AI and a pharmaceutical company. The app generates on-device mood predictions which are used by our partners to measure and understand mood fluctuations at key points within a fertility treatment cycle.
Adaptive Podcasts
BBC R&D, Imagination Lab Lancaster, Horizon
2021 - 2022
I was project and technical lead on a collaboration between The Horizon Institute, BBC R&D and Lancaster's Imagination Research Lab. We used our Future Mundane Caravan to develop mechanisms for multiple people to engage with adaptive podcasts and to negotiate access to co-owned sensor data (used to drive the adaptive podcast experience).
Experiencing the Future Mundane
BBC R&D, Imagination Lab Lancaster, Horizon
2019 - 2022
I was the technical lead on this EPSRC-funded project. I built the software infrastructure that runs rich, multi-sensor experiences in a bespoke caravan. The software supports the rapid creation and delivery of experiential visions of the future and is driven by AI and data processing.
IoT Databox
Cambridge, Nottingham, Imperial, BBC and BT
2016 - 2020
This was a multi-institution four year project that designed and built a privacy-supporting device that manages a user's IoT data by storing it within the home and allowing 'apps' to process data locally (i.e. without ever exporting it to the cloud). I developed a novel web-based IDE for building apps (see publications).
User Centric Networking
Technicolor R&D, Martel, Altice Labs,
Fraunhofer-Gesellschaft, Eurecom, Cambridge, Nottingham
2016 - 2020
This was another multi-institution project that developed content and recommendation systems based upon user network behaviour. In collaboration with ethnographers, I built data visualisation tools that supported detailed analysis of data collected from households across the UK and France.
Homework
Microsoft, BT, Nottingham, Imperial, Cambridge
2009 - 2012
This was a four year, five institution project that designed and studied tools for home networking support. I was part of a team that built a Linux router and two iPhone apps that presented network visualisations and offered policy-based control of a home network.
Education
University of Nottingham
PhD, Opportunistic Data Collection in People-Centric Sensor Networks
2006-2012
University College London
MSc, Data Communication Networks and Distributed Systems
Distinction
1999-2000
Queen Mary, University of London
BSc (Hons), Computer Science
First Class, Drapers award for 'outstanding academic achievement'
1997-1999