Pete Skomoroch is a Principal Data Scientist at LinkedIn where he leads a team focused on identity, reputation, information extraction, and building data driven products. He was also the creator of LinkedIn Skills http://www.linkedin.com/skills/
Prior to LinkedIn, he was based in Washington, DC where he mined insights from search query data as the Director of Advanced Analytics at Juice Analytics and as a Sr. Research Engineer at AOL Search. While in DC, he also founded DataWrangling.com, which provided custom data mining solutions to clients in bioinformatics, finance, and cloud computing.
He spent the previous 6 years in Boston implementing Biodefense pattern detection algorithms for streaming sensor data at MIT Lincoln Laboratory and constructing predictive models for large retail datasets at Profitlogic (now Oracle Retail).
Pete has a B.S. in Mathematics and Physics from Brandeis University and did graduate coursework in machine learning at MIT.
Michael Driscoll has a decade of experience developing large-scale databases and predictive algorithms for digital media, financial, and life sciences firms. He is the CEO and co-founder at Metamarkets, and Chairman of Dataspora LLC, a big data & analytics consultancy he founded in 2007. Previously, he founded the online retailer, CustomInk.com, and worked as a software engineer for the Human Genome Project. Michael holds a Ph.D. in Bioinformatics from Boston University and an A.B. from Harvard College.
DJ is the “Data Scientist in Residence” at Greylock Partners.
Previously he was the Chief Product Officer for Color and the Chief Scientist at the LinkedIn Corporation, leading the Analytics and Data Teams. Some of the products shipped include, People You May Know, Who’s Viewed My Profile, Talent Match, Skills, and Career Explorer.
He has held roles at Skype, PayPal, and eBay. As was a member of the faculty at the University of Maryland, he helped start a major research initiative on numerical weather prediction. As an AAAS Science & Technology Policy Fellow for the Department of Defense, Dr. Patil directed new efforts to leverage social network analysis and the melding of computational and social sciences to anticipate emerging threats to the US. He has also co-chaired a major review of US efforts to prevent bioweapons proliferation in Central Asia and co-founded the Iraqi Virtual Science Library (IVSL).
More details can be found on his LinkedIn profile.
Toby Segaran is the author of the O’Reilly titles, “Programming Collective Intelligence” and “Programming the Semantic Web” and a contributing editor of “Beautiful Data” . He frequently speaks on the subjects of machine learning, collective intelligence and freedom of data at conferences worldwide.
Toby previous worked as a Senior Data Scientist at Metaweb before it was acquired by Google in 2010. He now works on large-scale data reconciliation problems at Google. Prior to Metaweb he founded Incellico, a biotechnology software company which was acquired in 2003.
Toby holds a B.Sc in Computer Science from MIT and is deemed a “Person of Exceptional Ability” by the USCIS. He loves applying data-analysis algorithms to everything ranging from pharmaceutical trials to online dating to financial risk models.
A former Apple engineer, Pete Warden is the CTO of Jetpac, and writes on large-scale data processing and visualization
Amy was employee #1 at Quid, where she prototyped and deployed the company’s first software for analysing current themes in technological innovation, and is now Product Manager for the data platform. A Cambridge Mathematician who previously worked in London modeling cities, Amy is fascinated by complex human systems, and the algorithms and data that help us understand them.
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