Yolanne Lee

PhD Student, University College London

Yolanne is a PhD candidate in computer science at University College London exploring the intersection of partial differential equations and deep learning. She completed a BEng in Electrical and Electronics Engineering at UCL with a dissertation project entitled “Local alignments  and its influence on achievable resolution in 3D cryo-electron tomography” under Dr. Beata Turonova and Prof. Tobias Ritschel in collaboration with the Max Planck Institute for Biophysics. Her research interests include the discovery of PDEs as well as how they can constrain deep learning systems to design for more robust and interpretable models. She is particularly interested in deep learning techniques such as geometric deep learning, neural operators, and physics informed neural networks (PINNs) to leverage expert knowledge (in the form of mathematics) for AI.