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I Love Math May 12, 2017

Posted by Peter Varhol in Uncategorized.
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There, I said it. You might think that it is a natural thing for someone with a math degree (among others) to say, but let me delve a little deeper into that statement.

I was never very good at math. I completely lost it at calculus, not being able to relate it to real world concepts.  I think our minds like to relate abstract ideas into something concrete, a part of our lives, and that’s very hard with calculus and beyond.

I tried again as a college freshman. No dice, so I ended up with a degree in psychology, although I took a number of science courses as electives.

Another psychology degree later, I started to feel the math itch again. As I took graduate statistics, experimental design, and did a thesis with a mathematical model of behavior in a game theory situation, I came to realize that, despite my relative incompetence, I could no longer shrug away my math jones.

Long story short, I moved to a new job, taught myself calculus and differential equations in the evenings and weekends over the space of a summer, and enrolled in a graduate applied math curriculum in the fall. I got through it in three years (with some undergraduate course supplements), and graduated in 1985 with an M.S.

Why do I love math? I think it’s because most of our thought processes are representational.  We express ideas and emotions in words, in pictures, and increasingly today in video.  But the fundamental representation of the world around us is through mathematics.

My problem, of course, is that I came of age about 25 years too early. At that time, other than teaching, the only mathematical job available was as an insurance actuary, which sounded like the equivalent of watching paint dry.

(Well, there were a couple of other options. I turned down a GS-12 from the NSA because I didn’t want to move back to the Baltimore area.  Of course, being a cryptologist would have been very interesting the last few years.  And there were beginnings of rumblings about highly-paid “quants” on Wall Street, but I didn’t want to live in Manhattan.)

Today, of course, I can be a data scientist, although this late in my career it would be problematic to make that change. I’m back to tinkering with neural networks and machine learning, and maybe I will make a go of something there.  But 25 years ago, the options in applied mathematics were much more limited.