Preface
The Motivation Behind This Framework and Book
After earning my master’s degree in applied mathematics (awarded with distinction), I became an IndyCar race car engineer and race strategist who competed in more than 100 races worldwide, including many times in the Indianapolis 500. I also ran the vehicle dynamics and data science department at Andretti Autosport, which helped drive results for a four-car IndyCar racing team.
In American professional motorsports, winning the Indianapolis 500 is the ultimate goal. I attended my first Indianapolis 500 when I was still in high school. If you’ve never been, I highly recommend it. This event is truly the greatest spectacle in racing and is the largest single-day sporting event in the entire world. The track itself is the largest sporting facility in the world in terms of capacity.
The first year I attended, 1992, turned out to be the closest Indy 500 finish in history (and still is), and ended with Al Unser, Jr., beating Scott Goodyear for the win by 0.043 seconds! Think about that! That’s less than half of one tenth of one second after racing for almost three hours, at an average speed of 220-plus mph, and for 500 miles (the equivalent of driving from Chicago to Toronto)!
I was so blown away that I walked out of the Indianapolis Motor Speedway (IMS) that day telling those with me that I would someday work in IndyCar racing, and the rest is history. Additionally, and very serendipitously, my racing career began with me working ...
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Read now
Unlock full access