I am a PhD student at the University of Bath, and a member of the Grayson Group. My current interests lie in Chemical Modeling, Cheminformatics, and Machine Learning. My current research projects involve both Active Learning and Geometric Deep Learning in different areas of chemistry.
- Master's project published in Optical response of hyperbolic metamaterials with adsorbed nanoparticle arrays. The code for this project can be found in the repository Msc-final-year-project.
These are a range of different projects which I have undertaken/am undertaking and will make the code publicly available as and when I feel its in a fit state for publication.
- currently playing with CNN architectures for use in VAE's and GAN's (not yet publicaly available)
- reformated code from my auditing of the University of bath reinforcement learning course (not all code has been made available)
I have uploaded some of the work I produced during my MRes as part of the Acountable, Responsible, Transparent Center for Doctoral Training. This can be found in the art-ai-MRes-year repository
My answers to the worksheets/labs/coursework set as part of these courses (Not all worksheets/coursework have been made public yet).
- Machine Learning 1: taken 2021/2022, taught 2022-present
- This is a Master's level course taught at the University of Bath.
- Taught by Dr. Tom Haines, Dr. Xi Chen (2021/2022).
- My solutions to this coursework can be found here.
- Machine Learning 2: taken 2021/2022, taught 2022-present
- This is a Master's level course taught at the University of Bath.
- Taught by Dr. Hongping Cai, Dr. Vinay Namboodiri (2021/2022).
- My solutions to this coursework can be found here.
- Machine Learning: taught 2022-present
- This is a second-year course taught at the University of Bath.
- Artificial Intelligence: taught 2023-present
- This is a first-year course taught at the University of Bath.