Biography
Second-year student with an extensive background in Computer Vision, highly passionate about AI.
Interests
- Artificial Intelligence
- Machine Learning
- Computer Vision
- Medical Image Analysis
Education
BSc (Hons) Artificial Intelligence with Industrial Experience, 2021 - 2025
The University of Manchester
Experience
Research Engineer Intern
Working on scene understanding for self-driving cars.
Research Engineer
Developed a CE-marked 3D Deep Learning algorithm for the segmentation of nodules on lung CT scans that helps radiologists from over 100 medical institutions and 5 countries fare better at diagnosing lung cancer by providing precise measurements.
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 one of the creators of Vision Transformers (ViT).
