Hi I'm Joe and I am currently the Lead Data Scientist for Sussex Partnership NHS Foundation Trust and I am studying for my MRes in Advanced Artificial Intelligence [24->25].
Within this github I am working on two open-source projects;
[note - first drafts of the two below projects are due to go-live late March 2025 :)]
- SupaQ -> is a very efficient Discrete Event Simulation(DES) for the simplest of networks, designed for use in wait time scenario modelling
- If you're an expert in building libraries and functionality this may be the perfect place for you to take some shonky data-scientists code and transform it into a highly versatile tool!
- Public Sector Drive Times -> with the use of Ordnance Survey drive time data and openstreetmaps - create an efficient tool for analysis locations locally and for free (if you have the public sector geospatial agreement)
- if not public sector! well the functionality can be built off the back of any edge speed data that you have! OR through the paid options of ONS data!
- This is not a library but a series of notebooks built off of the backs of the amazing NetworkX and OSMNX libraries
- Invariance in Variational Auto-Encoders: Evaluation of Latent Representation for Image Classification -> Formative Assignment (ungraded ~ indicative mark 69%) Advanced Methods in Machine Learning - Course Lead Dr.Ivor Simpson
- In Plane Sight: Scanline Encoders for SNN's -> Summative Assignment (self directed research ~ 71%) Advanced Methods in Bio-Inspired AI - Course Lead Dr.Thomas Nowotny
- SimVPv2 for Image Sequence Interpolation and Extrapolation -> Summative Assignment (defined problem ~ 67%) Advanced Methods in Machine Learning - Course Lead Dr.Ivor Simpson
[Note: NLP unit not listed here, formative (graded): 79/100)
Research interest;
- Democratisation of AI & ML
- Open-source scalable software solution for public good
- Trust and Safety AI & ML
- AI & ML for Health
- Computer Vision