Author here. I recently defended my PhD thesis on Geometric Deep Learning. This post summarizes 4 years of research into three main questions covering:
- Theoretical expressivity of 3D molecular representations (Geometric WL test).
- Unified generative modelling for crystals and molecules (Diffusion Transformers).
- Inverse design of RNA structure/function with wet-lab validation.
Happy to answer any questions about the research or the PhD process!
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[ 2.7 ms ] story [ 10.3 ms ] thread- Theoretical expressivity of 3D molecular representations (Geometric WL test).
- Unified generative modelling for crystals and molecules (Diffusion Transformers).
- Inverse design of RNA structure/function with wet-lab validation.
Happy to answer any questions about the research or the PhD process!