Teodora Reu
DPhil in Computer Science at University of Oxford

Hey! I’m Teo, currently in my first year of DPhil in Computer Science, working under the guidance of Professor Michael Bronstein. My research focuses on Geometric Deep Learning, Diffusion Models, and spectral Graph Neural Networks (GNNs).
Before this, I did my MPhil in Advanced Computer Science at the University of Cambridge, where I graduated with distinction. During my time there, I dug into the world of Graph Neural Networks, specifically looking into variational and attentional approaches to graph rewiring. I was lucky to work with Professor Pietro Liò, Francesco Di Giovanni, and Chaitanya Joshi. I also dabbled in theoretical aspects of diffusion samplers under the guidance of Francisco Vargas. Looking forward to the exciting journey ahead!
My industry experience is varied from big tech, to start ups, and then to finance company, I worked as a software engineer summer intern at Google, R3, and BlackRock.
PS: I am also a very exited and passionate mathematician! I love mathematics! Was very fortunate to work as a counsellor this summer at PROMYS, helping international olympiad level highschoolers discover Number Theory and Group Theory from first principles.
selected publications and projects
- Expressiveness Remarks for Denoising Diffusion Based SamplingIn Fifth Symposium on Advances in Approximate Bayesian Inference, 2023
- CIN++: Enhancing Topological Message PassingarXiv preprint arXiv:2306.03561, 2023
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- Graph Neural Networks for Breast Cancer Data IntegrationarXiv preprint arXiv:2211.15561, 2022
- An Exploration of Lottery Ticket Hypopthesis thorough Fisher PrunningTheory of Deep Learning Lecture, 2023
- Looking for Stable Celestial Systems Using Bayesian OptimisationarXiv preprint arXiv:2303.14835, 2023