Jordan Brown

I study 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. O-minimality and its applications to differential geometry interest me. Learning theory, especially privacy in learning, interest me as well. The connections between the two areas are under-explored.

Published and Unpublished Works

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.