Bio

I’m Alex, a DPhil (PhD) student in the Visual Geometry Group (VGG) at the University of Oxford, advised by Prof. Andrew Zisserman and Dr. Puneet Dokania, researching generative modelling for perception. Part of the AIMS CDT.

Before starting my DPhil, I graduated with a BSc in AI from The University of Manchester. I completed my dissertation supervised by Prof. Tim Cootes on counterfactual generation using diffusion inpainting models (see MObI and AnydoorMed).

I began my computer vision journey at 16 in a medical imaging startup, later rejoining as a research engineer. Afterwards, I joined Five AI as a year-long Research Engineer Intern on multimodal sensor fusion and synthetic data generation for autonomous driving; returning as a Research Scientist Intern on Vision Language Action models (VLAs).

Education
  • DPhil, Autonomous Intelligent Machines and Systems, 2025 - 2029

    University of Oxford

  • BSc (Hons), Artificial Intelligence with Industrial Experience, 2021 - 2025

    The University of Manchester

Publications

TMLR 2026 | Survey Certification
Kemal Oksuz, Alexandru Buburuzan, Anthony Knittel, Yuhan Yao, Puneet K. Dokania
Figure from “Foundation Models for Trajectory Planning in Autonomous Driving: A Review of Progress and Open Challenges”
CVPR DDADS 2025
Alexandru Buburuzan, Anuj Sharma, John Redford, Puneet K. Dokania, Romain Mueller
Figure from “MObI: Multimodal Object Inpainting Using Diffusion Models”
CVPR WAD 2024
James Gunn, Zygmunt Lenyk, Anuj Sharma, Andrea Donati, Alexandru Buburuzan, John Redford, Romain Mueller
Figure from “Lift-Attend-Splat: Bird's-eye-view camera-lidar fusion using transformers”

Experience

Five AI
Research Scientist Intern
May 2025 – Mar 2026 Cambridge & Oxford, UK
Vision Language Action (VLA) models for autonomous driving.
Five AI
Research Engineer Intern
Jun 2023 – Jun 2024 Cambridge, UK
Diffusion models for scene editing and multimodal sensor fusion for 3D object detection.
Rayscape
Research Engineer
Jul 2021 – Jun 2023 Remote
Developed a CE-marked algorithm for lung nodule segmentation, deployed in over 100 hospitals.
Rayscape
Machine Learning Intern
Mar 2020 – Sep 2020 Timisoara, Romania
Built a time-efficient AI model for the detection of intracranial haemorrhages meant for speeding up the triaging process.