Metis Blog

By Zachariah Miller • February 23, 2018

In Part 4 of our ongoing series on the Monte Carlo Simulation, Metis Sr. Data Scientist Zach Miller asks and answers the question: "How do physicists use Monte Carlo to simulate particle interactions?"

By Emily Wilson • February 22, 2018

In the second installment of our Demystifying Data Science Video Series, you'll hear talks from three working data scientists about their roles, their ideas of what makes a data scientist, and what you should know about the complex, evolving, exciting field.

By Zachariah Miller • February 12, 2018

In Part 3 of his series, Metis Sr. Data Scientist Zach Miller tries to outsmart a casino using Monte Carlo techniques. Will it work?

By Zachariah Miller • January 30, 2018

In part 2 of Metis Sr. Data Scientist Zach Miller's exploratory series on the Monte Carlo tool, he goes over how to implement it in Python.

By Zachariah Miller • January 30, 2018

One of the most powerful techniques in any data scientist's tool belt is the Monte Carlo Simulation. It's flexible and powerful since it can be applied to almost any situation if the problem can be stated probabilistically. However, Metis Sr. Data Scientist Zach Miller has found that for many, the concept of using Monte Carlo is obscured by a fundamental misunderstanding of what it is. To address that, he's put together a series of small projects demonstrating the power of Monte Carlo in a few different fields.