At the beginning of June 2026, Silicon Valley will once again become a meeting point for scientists, engineers, entrepreneurs, and policymakers from Poland and the United States. Among them will be Maciej Malawski the director of the Sano Centre for Computational Medicine, taking part in the US\u2013Poland Science and Technology Symposium\u2014a long-running event focused on turning scientific ideas into real-world innovation. During the third day of the conference, dedicated to the theme \u201cBioSpace, Health & Cross-Sector Innovation,\u201d he will speak as a panelist in a session titled \u201cChallenges in pediatric oncology: Can AI help?\u201d, bringing a computational perspective to one of the most demanding areas of modern medicine.<\/p>\n\n\n\n
Organized by the US\u2013Poland Trade Council in collaboration with the Polish Silicon Valley Accelerator, the event has spent over 25 years fostering durable partnerships and accelerating knowledge transfer between Poland and the United States. Over that time, it has grown into a platform where strategic discussions naturally turn into concrete projects, joint ventures, and research collaborations.<\/p>\n\n\n\n
Although the theme of this year\u2019s edition is \u201cOpportunities in Aviation and Space,\u201d the conversation goes far beyond rockets and aircraft. Today, fields like aerospace, medicine, and artificial intelligence are increasingly connected through shared technological challenges: processing vast amounts of data, running complex simulations, and designing systems that can scale.<\/p>\n\n\n\n
Aviation and space industries are entering a phase of rapid change, shaped by AI, new materials, and growing global competition. The same computational tools used to model biological systems or optimize healthcare processes can also support spacecraft design or air traffic systems. This is where experts like Maciej Malawski come in. His work in distributed computing and workflow management shows how advanced computing can bridge disciplines\u2014linking, for example, medical simulations with large-scale engineering problems.<\/p>\n\n\n\n