PhD Student in Civil Engineering
What is your research background and current field of research?
I am a PhD student developing generative AI models for multi-physics simulations. By combining the disciplines of computer science, engineering, and mathematics, I aim to push the frontiers of research in the field of large language models (LLMs). This will enable scientists to run physical simulation software with ease. My background includes a BSc in Biological Sciences and an MRes in Drug Design, followed by industry experience in various fields such as cybersecurity, facial recognition, and data science.
Which BEAR Services have been most helpful to you in your research?
In particular, I will be leveraging the high-performance computing capabilities that BEAR offers, along with the use of GPUs to speed up training for deep learning frameworks, such as large language models. The ability to store large amounts of data in BEAR is also extremely useful, as no one wants their data to disappear forever with no way of getting it back!
How widespread do you think BEAR Services are known in your School and how do you plan to spread the word?
The use and knowledge of BEAR is not very widespread in the Department of Civil Engineering, which can be attributed to the lack of a need for large modelling and computationally intensive tasks. By introducing peers to BEAR and organizing regular meetups, I believe BEAR can gain exposure. The lab I am part of holds regular bi-weekly seminars where we can discuss how BEAR can be used and what services are offered.
How can researchers in your school/college contact you?
Email: oxs391@student.bham.ac.uk
What's an interesting fact about you?
My interest in coding/computing comes from the Matrix movie trilogy.