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What does a data hippie believe about the democratization of data? What role should tech companies, government and other stakeholders play in life sciences? Discoveries? And how might walking clinical trials lead to improved precision medicine? We'll get those answers and more on this episode of Research and Action in the lead. 

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Hello and welcome to Research and Action, brought to you by Oracle Life Sciences. I'm Mike Stiles. And today we're going right to the source when it comes to finding out what Oracle is doing in the life sciences space, what does a company like Oracle have to contribute? Why is it in the space? What does it and the rest of us have to gain from its involvement? 

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Those are the kinds of questions will be throwing at Dr. Chris Boon, newly appointed EVP of Research Services at Oracle Life Sciences. Chris has held some prominent roles at AbbVie and Pfizer, influencing health economics, medical epidemiology and real world data and evidence. He is an adjunct assistant professor at NYU, engaged in national health data committees and serves on several boards, including the American Heart Association. 

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So Chris, you're obviously a very busy person, so we really appreciate your time today. 

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Thanks, Mike. I'm happy to be here. 

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Before we get started, tell us about your new role at Oracle and how you see scientific and industry expertise as kind of a winning combination with technology. 

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Yeah, that's a great question. And I think this is a very fascinating point in our health care and life sciences history. I mean, it's about but I'll start a bit with who I am and what exactly I do as the group vice President of Research Services. I get the great honor and privilege of leading our research services organization formerly known as Cerner. 

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And these are within the Hawk Oracle Life Sciences Organization. This particular organization has been primarily focused on data analytics and research, right? So in many respects it represents the convergence, if you will, of scientific clinical industry and technology expertise, which I think is pretty much nirvana for where we are with the future of evidence generation in our industry. 

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