Projects

Here, you can find some of the large-scale projects I have worked on. For smaller projects and code samples, please visit my GitHub or the Blog.

To help navigate, I use the STARS+I framework for each project:

Situation: Context and challenges.
Task: Objectives and goals.
Action: The steps taken to address the challenges.
Result: Outcome and impact.
Scars: Mistakes I made, and lessons I learned.
Interdisciplinary: Highlighting multidisciplinary areas involved.

AI & Signal Processing for In-Memory Computing

3 minute read

Supporting pre-sales engagements and engineering automated benchmarking pipelines for KPI-driven analysis of AI and signal processing workloads.

Project Type: Professional

Quantifying Brain Ageing with Novel Multimodal AI

4 minute read

During my Oxford PhD, I developed multimodal deep learning and data analysis pipelines linking brain ageing dynamics to environmental and lifestyle factors.

Project Type: Academic

Paint4Brains: Open Source AI Tool for MRI Segmentation

2 minute read

Coordinated the team building a local tool providing clinicians with editable brain MRI segmentations of problematic neurodegenerative regions.

Project Type: Open Source

MEng Thesis: Deep Reinforcement Learning Agents

1 minute read

Explored the training of classical and deep reinforcement learning agents on neuromorphic hardware with biologically plausible algorithms.

Project Type: Academic

Market Modelling for Hybrid-Electric Aviation

2 minute read

Modelled regional aviation market dynamics, investigating the feasibility and total addressable market of hybrid-electric regional aircraft.

Project Type: Professional