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Mark Christopher B.


Potomac, MD

Member since:

August 10, 2011


What is your level of experience with Statistics, Predictive Analytics, Machine Learning and/or Data Mining?

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.

What tools and technologies do you use?

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).

What do you hope to get out of this group?

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.

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