I'm lead research analyst at Stanford Law School's Regulation, Evaluation, and Governance Lab (RegLab), where I design and evaluate algorithms for various problems in public policy.

My work is here. I'm currently focused on developing sequential decision-making methods in non-standard settings, such as in the presence of concept drift, batched feedback, or corrupted data.

On the side, I co-host the Increments podcast, where Vaden Masrani and I confuse ourselves and others about philosophy and science. Sometimes I string words together on Medium, each post achieving various levels of coherence. And sometimes I yell about bad philosophy (including mine) and offer mellow takes on twitter.

Love, strong disinterest, and invitations to Alaskan nudist colony retreats welcome at ben.ih.chugg@gmail.com.

I enjoy talking to you. Your mind appeals to me. It resembles my own mind except that you happen to be insane.
- George Orwell, 1984.


A few pieces of writing. See all writing here.


In the spirit of weird, nerdy, social signaling—here is a list of

  • some of my favourite books organized into several vague and overlapping categories;
  • recommended essays;
  • online courses which have taught me something interesting.

I probably drink too much coffee.

Here is my CV of failures.

Sometimes I try and do this when I'm alone. It doesn't go as well.

An erratic bio

Prior to Stanford, I was a grad student at the Mathematical Institute at Oxford, where I studied topics at the intersection of spectral graph theory and geometry. Here is my thesis on the subject.

In 2018, I spent some time at RIKEN AIP in Tokyo, where I was lucky to work with Dr. Maehara as part of the Discrete Optimization Unit.

My undergraduate was spent at the University of British Columbia studying mathematics and computer science, where I was immensely fortunate to be supervised by Will Evans and Anne Condon.