I am pursuing a Ph.D. in 3D Vision and Generative AI at the University of Edinburgh, deepening my understanding of these advanced fields. As a Visiting Researcher at Microsoft Mesh in Zurich, I blend 3D Vision, motion prediction, and graphics to improve mixed reality experiences. My previous role at Microsoft Research Cambridge involved applying computer vision and signal processing to biomedical research. Passionate about cloud infrastructure and Kubernetes, I also contributed at Huawei Research UK, where I used time series forecasting models to enhance system optimization and operational efficiency.
PhD in Artificial Intelligence, 2025
University of Edinburgh
MRes in Artificial Intelligence, 2021
University of Edinburgh
MSc in Bioinformatics, 2020
University of Glasgow
We introduce a new generative approach for synthesizing 3D geometry and images from single-view collections.This allows us to introduce useful priors to generate valid meshes. However those priors prevent the generative model from learning details limiting the applicability of the method to real-world scenarios. To alleviate that problem we make the transformation learnable and constrain the rendered depth map to be consistent with the zero-level set of the SDF. Through the lens of adversarial training we encourage the network to produce higher fidelity details on the output meshes.
Feel free to reach out