Bio
👋 I am Alex, a final-year AI undergraduate at The University of Manchester, working to advance spatial reasoning in machine perception by constructing and learning from reimagined worlds. My current research, supervised by Prof. Tim Cootes, explores counterfactual medical image generation using diffusion models.
My journey in computer vision began at 16, joining Rayscape, a medical imaging startup, followed by a research internship at FiveAI on camera-lidar object inpainting in autonomous driving, advised by Dr. Romain Mueller and Dr. Puneet Dokania. I am a campus coordinator for GirlsWhoML, promoting inclusivity in ML.
Interests
- Computer Vision
- Multimodal Perception
- Autonomous Driving
- Medical Image Analysis
Education
BSc (Hons) Artificial Intelligence with Industrial Experience, 2021 - 2025
The University of Manchester
Experience
Research Engineer Intern
Diffusion models for scene editing and multimodal sensor fusion for 3D object detection.
Research Engineer
Developed a CE-marked algorithm for lung nodule segmentation, deployed in over 100 hospitals.
Machine Learning Intern
Build a time-efficient AI model for the detection of intracranial haemorrhages meant for speeding up the triaging process.
Publications
Summer Schools
Oxford Machine Learning Summer School
- Attended lectures on Computer Vision, Graph Neural Networks, Medical Image Analysis.
Cambridge Centre for AI in Medicine Summer School
- Attended lectures on Interpretability, Graph Neural Networks, Causal Inference, Timeseries Forecasting.
EEML Summer School
- Attended lectures and tutorials on Deep Learning Theory, Reinforcement Learning, Computer Vision, Explainability, Graph Neural Networks, Speech Recognition, NLP, Causality.
- Mentored by Lucas Beyer, one of the creators of Vision Transformers (ViT).
