If you’ve ever woken up from that nightmare where you’re giving a presentation but you’ve never read the book, then you’ll know just how stressful that can be, unless of course, you’re Tyler Diehl. Tyler, a junior Finance/Statistics double major, stood in front of a graduate class last month and presented his analysis of Bram Stoker’s Dracula without ever turning a single page. He coolly explained persistent themes throughout the book, styles of writing by the various characters, and even identified the saddest sentence in the whole novel. How did he do that you might ask, well Tyler had a secret weapon: data science. Continue reading Mining Dracula with Data Science
Author: Eric Godat
Dr. Eric Godat is a Data Scientist, Adjunct Professor, and Team Lead of the Research and Data Science Services Group in the Office of Information Technology at Southern Methodist University (SMU). He orchestrates a team of experts in the fields of data science, high performance computing, artificial intelligence, and the internet of things to assist researchers at SMU in enhancing their research capabilities through technology. Dr. Godat's background is in the field of high energy physics, specifically particle phenomenology using parton distribution functions to model heavy ion collisions at the Large Hadron Collider, and has recently been involved with collaborative projects from multiple disciplines across campus.
