Education
I hold an MChem in Medicinal and Biological Chemistry from the University of Edinburgh, where I developed a strong foundation in both the theoretical and practical aspects of chemistry and drug design. I am constantly building my skills in data analysis and the application of machine learning techniques in biological data through my second Master's degree in Bioinformatics.
Professional Experience
As a Peer Support Student Coordinator (similar to a Project Coordinator) at Edinburgh's School of Chemistry, I lead a team to develop innovative peer support models that assist students in their academic and personal development. Throughout my time in this role, I've gone above and beyond my job description and was awarded the Student Experience Grant to organise site visits to 3 chemical companies for 40 students, further enhancing the student experience and pioneering academia-industry collaborations. This role has perfected my skills in project management, teamwork, and leadership.
Research and Projects
My research interests lie at the intersection of Chemistry, Biology and AI. I have worked on several projects across different fields of chemistry, including the development of 2 sustainable large-scale pharmaceutical processes that eliminated the use of hazardous reagents by a wopping annual amount of 230,000 litres; the development of 2 bioinformatics programmes using Python and Bash; and currnetly I am working on the pipeline development for a diffusion model for molecular generation under the background of antimicrobial resistance.
Future Goals
Looking forward, I aim to contribute to research in using understanding complex biological pathways of single cells, by using the immense power of machine learning. I am someone who is curious about everything, and I am particularly interested in opportunities that allow me to combine my expertise in chemistry and bioinformatics to solve real-world problems.