Bradford Cross

Bradford Cross

Bradford has been doing applied research since 2001. His interests are in Maths, Statistics, Computer Science, Learning Theory, Network Theory, Information Retrieval, Natural Language Processing, and engineering at scale.

Most recently, Bradford is co-founder and head of research for FlightCaster, where is responsible for the statistical learning and supporting architecture that power Flightcaster’s predictive algorithms.

Prior to Flightcaster, Bradford spent 2 years at ThoughtWorks.

Bradford began his research work in the hedge fund business, where he developed statistical trading strategies and the underlying software infrastructure. During this time he founded a few small trading partnerships and worked with O’Higgins Asset Management. In the process of building trading systems, he collaborated with SmartQuant on a project that was subsequently sold to QuantHouse and re-branded as their suite of research tools for algorithmic trading strategy development.


Location: Mission City Ballroom
Please note: This and all other keynotes will be live streamed and recorded.
Alistair Croll (Solve For Interesting), Toby Segaran (Google), Amber Case (MIT Media Lab), Bradford Cross (Flightcaster) Moderated by: Alistair Croll
Average rating: **...
(2.64, 33 ratings)
The convergence of big, open data, ubicomp, and new interfaces will change the way humans work, play, learn, and love. It's a slow transformation that happens one tweet, one blog, and one game at a time -- but it's also an inexorable road towards the singularity. In this panel discussion, we'll look beyond the bytes and algorithms to think about humanity awash in a sea of information. Read more.


  • Thomson Reuters
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