Thomas Bridge is one of our Science Team members, responsible for working closely with users of the Alchemite™ software to ensure their success in applying machine learning to solve key problems in chemicals, life science, materials, and manufacturing R&D. You can find out more about the work of the Science Team, and watch an interview with the head of the team, Dr Tom Whitehead, here.
1. What is your role at Intellegens?
I am a Machine Learning Engineer in the Science Team. I work on consultancy-based projects with a variety of customers, helping them to get most value from the Alchemite™ technology in their projects. I also work on improving and developing our machine learning technology based on the experience of applying it in practice.
(You can see Thomas talking about one project that he has worked on, optimising the manufacturing of biopharmaceuticals at CPI, in this recorded webinar).
2. What is your career/educational background?
I have a BEng in Chemical Engineering from the University of Birmingham and an MSc in Machine Learning from the University of Nottingham. This combined knowledge of the physical sciences/engineering and AI has helped me to thrive in customer work, particularly within life sciences and chemical manufacturing organisations.
3. What is good about working at Intellegens?
Working with companies in many different industries is very interesting and rewarding. When I hear how our work has enabled the production of new improved products, that’s exciting! I also find that experience and knowledge I have picked up through working with one group of customers can be applied elsewhere, even in different sectors – that’s very satisfying.
4. What is something that you think makes Intellegens stand out from other companies?
It’s this ability to work across a variety of industries. In similar roles at other companies, I might have found myself focusing repetitively on one specific industry and type of problem. Having said that, the common elements in problems like experimental design or optimisation of products and processes mean that I have been able to develop re-usable skills and knowledge, while seeing a range of project types and problems.
5. What do you enjoy doing when you are not at work?
When not at work, I enjoy exercising, watching TV and spending time with family.
