Jolanta Mozyrska
I recently earned an MSc in Advanced Computer Science with distinction at the University of Oxford. I am interested in AI for biomedicine, Graph Neural Networks, and Neural Algorithmic Reasoning. Previously, I completed my BSc in Computer Science at the University of Warsaw, Poland.
👩💻 I'm currently interning at Prof. Monod's research group.
✨ I'm mentoring Oxford students through Oxford Women* in Computer Science Society mentoring program.
📝 Please feel free to reach out if you have any questions.
Publications
Cardiac anatomy modelling using Latent Diffusion Models
Jolanta Mozyrska, Marcel Beetz,
Luke Melas-Kyriazi, Vicente Grau, Abhirup Banerjee, Alfonso Bueno-Orovio
In review.
MSc thesis (awarded Distinction)
Cardiac anatomy modelling using Latent Diffusion Models
Abstract
Supervisors: Prof. Alfonso
Bueno-Orovio, Dr. Abhirup
Banerjee, Luke Melas-Kyriazi, Prof. Vicente Grau
Research Experience and Internships
London Geometry and Machine Learning Summer School 2024
Supervisor: Michail Chatzianastasis
Project: Protein Representation Learning
Google - Operations Research Team
Added a new optimizer to a Mixed Integer Programming framework. It outperformed Gurobi (state-of-the-art solver) in 70% of instances of a specific type of knapsack problem.
NVIDIA
Accelerated data preprocessing with NVTabular library, graph generation with R-MAT model.
Google - Fit Research Team
Google Fit
Successfully reproduced a research paper about robust analysis of photoplethysmographic signals.
Team leader: Dr. Robert Harle
Conferences & Summer Schools
Eastern European Machine Learning Summer School 2024
Poster presentation.
Cambridge Centre for AI in Medicine Summer School 2023
Poster presentation: Cardiac Anatomy Generation with Latent Diffusion Models
Scholarship recipient.
ML in PL Conference 2021
Poster presentation: Optimising N-BEATS for the NVIDIA Time-Series Prediction Platform (BSc thesis).