Team

Meet intoli's team of data experts

We are a highly-technical duo with extensive training in math and physics that allow us to solve the toughest code and data challenges quickly and reliably. Between us we have decades of programming experience and have been developing code as good friends for twelve years. Find out how the combination of our machine learning expertise and programming experience makes us the perfect team to help you meet your business goals.

Evan Sangaline, PhD

Evan has been an avid programmer for 19 years and has shipped projects in over a dozen languages. His career began in experimental higher energy physics where he managed distributed computing infrastructures and performed award winning research on particle identification. This work included the development of a ground breaking unsupervised machine learning technique that significantly outperformed all existing approaches. He later switched fields to statistics where he developed the strongly intensive cumulants and made the first Bayesian determination of the nuclear equation of state using advanced statistical techniques designed to accomodate otherwise prohibitively expensive models.

Since leaving academia, he has founded a startup that used artificial intelligence to make video games more fun, written technical articles that hundreds of thousands of people have enjoyed, and helped numerous companies build their products or meet their data needs.

Andre Perunicic, PhD

After getting his Ph.D. in math, Andre spent two years working as a postdoc at research institutions in Canada. His academic work centered on applying ideas from mathematical physics and string theory to number theory, and he developed techniques for greatly simplifying certain extremely labor intensive calculations.

His mathematical training and life-long programming experience allowed for an easy transition to industry, where he has helped multiple teams meet their business and data science needs. He worked on desktop and web applications, as well as data science projects, and has a detailed understanding of machine learning algorithms and techniques.

Before Intoli, he most recently worked in the data science department of Spreemo Health, where he used Bayesian techniques to define analytical metrics used to measure quality of radiology services. He helped identify key predictive factors for high quality MRI exams, and demonstrated drastic differences amongst various radiology providers.

Have a Project in Mind?

Let us know what you're working on and we'll be happy to help you find the solution that best fits your needs.