Charlie is the latest recruit to the Alchemite™ Success team, which works closely with R&D organisations to ensure that they gain maximum value from their use of the Alchemite™ software. Charlie joins a diverse group of scientists with backgrounds in physics, chemistry, and materials science, and a wealth of project experience in applying machine learning to problems in these disciplines. The team helps user organisations get up-to-speed quickly, enabling them to become self-sufficient in their use of the technology.
1. What is your role at Intellegens?
I’m a machine learning scientist in the scientific team here at Intellegens. I work closely with customers to provide technical insights and software solutions to their complex scientific problems.
2. What is your favourite thing about working at Intellegens?
I was quickly welcomed into the team and made to feel like an important member, getting involved with projects from day one. This has been integral in my learning, as I come from a computational chemistry background, so I started with less experience in machine learning. I’ve been able to contribute my existing knowledge of coding and chemical sciences while learning the theory and application of machine learning techniques, which makes me very excited for work each day.
3. What is your career background?
I recently completed a PhD in Theoretical and Computational Chemistry at the University of Cambridge, where I studied the architectural properties of chromatin using coarse-grained molecular modelling and enhanced sampling techniques. Prior to this, I completed an MPhil in Scientific Computing and an MChem in Pure and Applied Chemistry. My passion lies in developing novel analysis codes to elucidate the role of molecules in various environments.
4. What is something that you think makes Intellegens stand out from other companies?
We have a very diverse and multidisciplinary team for a small-sized company. Collectively, we possess a wide knowledge base, enabling us to dive head-on into most scientific problems. This also means we have a lot to learn from each other, making for a very fulfilling work environment.
5. What do you enjoy doing when you are not at work?
I spend most of my free time playing various musical instruments and going to the gym. I also enjoy hanging out with friends and planning day trips when time permits.