Join leading data scientists in debating hot issues in the profession.
A data scientist and entrepreneur focused on building intelligent systems to collect information and enable better decisions, Peter Skomoroch is currently cofounder and CEO of Skipflag, a new startup based in San Francisco. Pete specializes in solving hard algorithmic problems, leading cross-functional teams, and developing engaging products powered by data and machine learning. Previously, he applied his skills to the consumer Internet space at LinkedIn, the world’s largest professional network, where he was an early member of the data science team. As principal data scientist, he led data science teams focused on reputation, search, inferred identity, and building data products. He was also the creator of LinkedIn Skills and LinkedIn Endorsements.
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 Patil is the chief data scientist and deputy chief technology officer for data policy at the White House Office of Science and Technology Policy, where he advises on policies and practices to maintain US leadership in technology and innovation, fosters partnerships to maximize the nation’s return on its investment in data, and helps to attract and retain the best minds in data science to serve the public. Since joining OSTP, DJ has collaborated with colleagues across government, including the chief information officer and the US Digital Service as part of the Obama administration’s commitment to open data and data science. He leads data science efforts related to the Precision Medicine Initiative, which focuses on utilizing advances in data and health care to provide clinicians with new tools, knowledge, and therapies to select which treatments will work best for which patients while protecting patient privacy.
DJ joined the White House following an incredible career as a data scientist—a term he helped coin—in the public and private sectors and in academia. Most recently, he served as the vice president of product at RelateIQ (acquired by Salesforce) and previously held positions at LinkedIn, Greylock Partners, and eBay, where he oversaw initiatives at eBay, PayPal, and Skype. Prior to his work in the private sector, DJ was an American Association for the Advancement of Science (AAAS) science and technology policy fellow for the Department of Defense, where he directed new efforts to bridge computational and social sciences in fields like social network analysis to help anticipate emerging threats to the United States. DJ has authored a number of influential articles and books explaining the important current and potential applications of data science. In 2014, the World Economic Forum named DJ a Young Global Leader. He holds a bachelor’s degree in mathematics from the University of California, San Diego, and a PhD in applied mathematics from the University of Maryland, where he used open datasets published by the National Oceanic and Atmospheric Administration (NOAA) to make major improvements in numerical weather forecasting.
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.
Pete Warden is the mobile/embedded lead for the TensorFlow team. Pete was formerly the CTO of Jetpac, which was acquired by Google for its deep learning technology optimized to run on mobile and embedded devices. He previously worked at Apple on GPU optimizations for image processing and has written several books on data processing for O’Reilly.
Amy until recently was the Director of Mathematics at Quid, where she had 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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