Michael Luk serves as the CTO and Co-Founder of SFL Scientific, a data science consultancy that addresses R&D big data and applied AI challenges. With over 10 years of experience, they lead the data science and project management teams, collaborating with a variety of innovative clients to enhance their data-driven operations. Michael previously held the position of Process Engineer at Intel, where they specialized in data modeling and machine learning applications. They earned a PhD in Elementary Particle Physics from Brown University after studying Mathematics at the University of Cambridge and Theoretical Physics at Imperial College London. Michael is also a Managing Director at Deloitte, overseeing SFL projects and leading talent development initiatives in AI.
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