I study learning theory and mathematical logic at the University of California, Berkeley, in the Group for Logic and the Methodology of Science. Thomas Scanlon and Antonio Montalbán advise me.
I am a Ph.D. candidate. I mostly work on private learning theory. The intersection of statistical mechanics and learning interests me. And I am trying to understand how transformer weight assignments are selected, how such selection resembles the natural selection of bio-organisms, and what such selection implies for the psychology of neural networks.
Private Learning on Linear Orders (I learned after writing this that its primary results were known and the questions I ask in it have been answered. But the use of the logistic function is, as far as I know, novel.)
Definability of the Integrability Locus. This was also known through work of Valette. The approach I used required untangling some of the implications of valuative Lipschitz stratifications for classical Lipschitz stratifications; T. Kaiser told me of Valette's work.
When and Why to Expect Gaussian Error Bars. Joint work with M. Wilensky and B. Hazelton on statistical problems in astronomy.