Transitioning Into Data Science
Transitioning Into Data Science

Abstract: 

In this talk, I will present an overview of my path into data science from my start in biological engineering, to my interest in code which led me into a PhD in bioinformatics from which I transitioned into my current role doing data science and machine learning for a variety of applications. I will use data to tell you more about how to approach your career in data science. including key insights from surveying my network as well as my own insights. Attendees will learn how we transitioned into data science and tips on how to enter the field.

Bio: 

Laura Seaman is a Senior Machine Intelligence Scientist at Draper where she applies machine learning and bioinformatics algorithms to a variety of applications. Dr. Seaman’s graduate work focused on using genetic data to identify alterations to the genomic structure in cancer. She is currently using data science for many applications including analysis of financial networks and identification of genetically engineered organisms. Dr. Seaman has a Bachelor of Science in Biological Engineering from the Massachusetts Institute of Technology, a Masters of Arts in Statistics from the University of Michigan, and a Doctor of Philosophy in Bioinformatics from the University of Michigan.