I’m an entrepreneur, data scientist, and product manager based in San Francisco. My main focus is building intelligent systems to automate manual processes and help people make better decisions. I specialize in solving difficult algorithmic challenges, leading cross-functional teams, and developing engaging product features powered by data and machine learning.
Most recently, I applied my skills to the consumer internet space at LinkedIn, the world’s largest professional network, where I was an early member of the data science team. As Principal Data Scientist, I led a data product team focused on reputation, search, and shipping data driven products. I was also the creator of Skills & Endorsements, one of the fastest growing new products in LinkedIn’s history.
Before joining LinkedIn, I was Director of Analytics at Juice Analytics and a Senior Research Engineer at AOL Search. In a previous life, I developed price optimization models for Fortune 500 retailers, studied machine learning at MIT, and worked on Biodefense projects for DARPA and The Department of Defense. I have a B.S. in Mathematics and Physics from Brandeis University and research experience in Biology and Neuroscience.
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
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 is the Director of Mathematics at Quid, where she has been since its inception, prototyping and launching the company’s technology for analyzing document sets. 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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