DBTB INT Atul Butte r

are so name is a tool beaut I'm at ucsf the University of California San Francisco and the director of the new Institute for computational Health Sciences so this is an incredible meeting actually never realized this was happening here in the Bay Area but of course it's perfect for the Bay Area to seeing all the different technologies the latest libraries lays packages in use in other fields and including in healthcare so I kind of want to you know grok all of this and bring it into my own field as fast as I can so obviously i think data is cool exciting uh but i'm in healthcare and our health data is probably in some ways its most expensive data in the world we pay doctors to enter this data in yet on average there's nobody looking at these bytes of data that we collect whether it's genomic data and DNA or health record data and the hospitals and when you put those two together we have this new exciting thing called precision medicine we just don't even have enough data scientists in our field right now so I think in some ways we have all this health data biomedical data I think the hardest part for us is figuring out what's the question that we should be asking now we do have the tools we have platforms we all believe in cloud we believe in all of those things figure out what's the next question that we should be asking and answering using data analytics is still the hard part they're not of people who even think about answering questions using data and medicine so we kind of get have to build that kind of new cohort of people who understand data get more training programs going compared to all the other companies out there I have one secret power I'm an educational institute so i get to train more people in this field so that's what we're busy working on training programs to for healthcare data analytics ya heard you asking other people this one that's a hard one so I think you know everyone here is asked how to be data scientist but no one here actually admits to being a data scientist strangely so I'm sure what the field actually means but I think if if I had to be a data scientist today I would try to pick one vertical tube also be an expert in I think and in some ways that's the difference made a statistician and a scientist you know some area of business you know so mayor of industry the minute you pick one area of industry and data science you're probably going to be kind of world unique you might be the only person in the country in the world who has both skills and men everyone's going to seek you out and try to hire you so the more you have data science and another skill man it's unbeatable so I this is an example I've carry these in my suit they're so cheap this called a gene chip you can put a sample of cancer diabetes it's example how you know instead of dissecting frogs which we remember as biology kind of smelly and nasty this is like the new dissection you put samples on this you get a digital readout a master spreadsheet just every gene every recipe and how much each one is up or down in a sample of cancer or diabetes so I just carry these around a show for us big data comes from small packages just like this you