I'm a mathematician from Colorado. I live and work in London.
I'm the Senior Data Scientist at Universal Pictures International. I lead a predictive analytics team in multiple machine learning, forecasting, and data mining projects.
I'm also a Ph.D. researcher in pure mathematics at Queen Mary University of London. In particular, I study quantum groups, number theory, and the bit of their intersection that lies in Grothendieck-Teichmüller theory.
| 16 Jan - 3 Apr | Running a study group in Software Engineering and Functional Programming (following SICP). |
| 8 - 12 Apr | Attending the Workshop on Grothendieck-Teichmüller Theory and Multiple Zeta Values in Cambridge. |
| 21 - 22 May | Leading a tutorial on Big Data and Predictive Analytics at the Polish Business Analysis Summit 2013 in Warsaw. |
| 04 Mar - 08 Mar 2013 | Visiting Brussels as an independent expert/evaluator for the European Commission/FP7. |
| 26 Feb - 28 Feb 2013 | Attending the Strata Conference in Santa Clara, CA. |
| 21 Feb - 25 Feb 2013 | Visiting Universal Pictures' offices in Los Angeles. |
| 4 Dec 2012 | Speaking at the UCL Undergrad Maths Colloquium; giving a friendly intro to quantum groups. |
| 14 Nov 2012 | Speaking at the UCCS maths dept; giving a mathematical intro to quantum groups. |
| 19 Oct 2012 | Speaking at Big Data Innovation, Dublin. |
| 15 Oct 2012 to Late Dec | Running a study group in class field theory. |
| 10 Oct 2012 | Attending the Haskell eXchange at Skills Matter, London. |
I'm a lover of learning, not for it's own sake, but as a social activity. I'd like to invite anyone keen on studying or working together to get in touch, especially if you have any interests that match mine:
Quantum groups, Grothendieck-Teichmüller groups, noncommutative geometry, Bost-Connes systems, machine learning, statistical modeling & forecasting.
Maths: algebraic geometry, differential geometry & topology, riemannian geometry, class field theory, anabelian geometry, elliptic curves, and more...
Physics: classical mechanics, electricity & magnetism, quantum field theory, statistical mechanics, and more...
Computer Science: programming language theory, functional programming languages (haskell, erlang in particular), systems programming (c and go in particular), purely functional data structures, more data structures and algorithms, compile design, machine learning and more...