Artem Kopelev received his Master of Public Health in Health Policy and Administration from Yale University.
I come from a background in biology and math I did health policy in graduate school with the focus on global health with some analytics for a city agency then I did some analytics for a giant health insurance company. So I was very interested in nonparametric methods also learning machine learning and when I came to decision trees or when it came to let’s say neural networks that’s just like, “Ooh. How does that happen, how does that work?”
I was impressed with the range of topics covered also a little bit kind of cautious because the scope is so wide, you know. I was like, “Whoa how are you guys going to cover all of this in just a few days?” As I browse the website I thought, “”Oh you know this could be actually some great exercise.
What was pleasantly surprising is like, “Whoa I have so many great ideas but i don’t know where to jump first.” And it’s such a like a desire to just master all of these things. And then I was thinking also yeah I’d be great if some of my senior associates like some of the managers could be able to – maybe some of our clients – would be able to kind of sit through something maybe shorter but understand the importance, the promise, the impressive power of a lot of these tools, a lot of his products.
I thought it was great I think you know. So I think in general I think it could be useful in filling in missing values it could be useful in helping – complimenting current missing data. Current and kind of insufficient data of certain things do some sort of estimates there.