Boehringer Ingelheim today announced the expansion of its global Computational Innovation footprint with the launch of a new center for AI and machine learning in King’s Cross, London, UK, part of the Knowledge Quarter ecosystem. As the company continues to innovate and expand its AI capabilities in pharmaceutical R&D, this significant investment recognizes the UK’s commitment to AI and the life sciences sector.
With this latest investment, Computational Innovation now has locations in Austria, Germany, UK and USA specializing in AI, machine learning, human genetics, and computational biology. The addition of London to the company’s global footprint and clear focus on AI will further understanding of the biology that drives patient outcomes, identify biological mechanisms with a higher probability of success, and enable the organization to move faster, make smarter decisions, and deliver innovative therapies to patients with unmet medical needs. The importance of this investment will be recognized at an event today attended by Government Ministers and representatives from academic and professional institutions, as well as technology and AI companies from within London’s Knowledge Quarter.
UK Science Minister, Lord Patrick Vallance, said:
“AI is unlocking opportunities to advance discovery in life sciences like never before and Boehringer’s decision to open its new hub in King’s Cross will ensure they can both access and contribute to a flourishing base for innovation in London.
This hugely welcome investment by a global life sciences company will power our efforts to tackle diseases while opening up new highly skilled jobs that boost our economy.”
Paola Casarosa, Global Head, Innovation Unit and Member of the Board of Managing Directors, Boehringer Ingelheim, said:
“The UK has a strong legacy in AI, and the government’s continued commitment to advancing data-driven innovation in life sciences and healthcare makes it an ideal location. Establishing a presence in London allows us to leverage the UK’s rich data resources and infrastructure, while connecting with world?class talent across academia, biotechnology and AI ecosystems to enable innovation for patient benefit.
Our vision for the future is guided by our commitment to put patients first, delivering new medicines where unmet medical needs remain high.”
