Washington, DCUSA 20001
August 10, 2011
Predictive Analytics: high. Academic background in genetics and statistical models. Machine Learning and Data Mining: medium. Focus of current personal R&D and recreational coding.
Infrastructure is top-100 High Performance Computing (HPC) and, as of Sept. 3, the world's only 100GB backbone. Personally, I lean towards NoSQL clusters and R. At the day job, very diverse - from classic Cognos BI for backstage business to everything under the sun for 2,500 scientists, including some killer data geeks (and 12 Nobel Laureates).
Make friends, learn a lot of stuff and get smarter, find people to collaborate with, surface ideas, drink beer with interesting people.
I'm a data scientist and chief architect and strategist at Howard Hughes Medical Institute, one of the nation’s largest philanthropies. Before joining HHMI, I was the CEO of XBRL US, which crowdsourced the XBRL US GAAP taxonomy required by the SEC.