Category Archives: grad school

Readers wanted!

tl;dr: Read a draft of my thesis and send me your feedback by September 9! Over the past year I’ve had several people say things along the lines of, “let me know if you want me to read through your … Continue reading

Posted in category theory, combinatorics, diagrams, grad school, math, species, writing | Tagged , , , , | 15 Comments

Maniac week

Inspired by Bethany Soule (and indirectly by Nick Winter, and also by the fact that my dissertation defense and the start of the semester are looming), I am planning a “maniac week” while Joyia and Noah will be at the … Continue reading

Posted in grad school, meta, writing | Tagged , , , , , | 9 Comments

Beeminding for fun and profit

I’ve been using Beeminder (which I’ve mentioned once before) for a little over six months now. The verdict? Beeminder has changed my life. That sounds dramatic, but I’m not kidding. I am far more productive than I’ve ever been. I’m … Continue reading

Posted in grad school, meta | Tagged , , , | 18 Comments

On being a researcher

Edward Z. Yang recently wrote about applying to grad schools. This paragraph caught my attention: … I frequently switch between thinking, “Oh, look at this grad student, he didn’t start having any publications till he started grad school—so I’m OK … Continue reading

Posted in grad school | Tagged , , , | 3 Comments

Binders Unbound

Stephanie Weirich, Tim Sheard and I recently submitted a paper to ICFP entitled Binders Unbound. (You can read a draft here.) It’s about our kick-ass, I mean, expressive and flexible library, unbound (note: GHC 7 required), for generically dealing with … Continue reading

Posted in grad school, haskell, projects, writing | Tagged , , , , , | 7 Comments

The random graph

Today in my finite model theory class we learned about the Rado graph, which is a graph (unique up to isomorphism among countable graphs) with the extension property: given any two disjoint finite sets of vertices and , there exists … Continue reading

Posted in grad school, humor | Tagged , , | 3 Comments

The Poisson distribution and Stirling numbers

While working on an assignment for my machine learning class, I rediscovered the fact that if X is a random variable from a Poisson distribution with parameter , then where denotes a Stirling number of the second kind. (I actually … Continue reading

Posted in combinatorics, grad school, learning, math | Tagged , , , | 2 Comments