Quantcast is a technology company specialized in real-time advertising and audience measurement. As the pioneer of direct audience measurement in 2006, Quantcast has today the most in-depth understanding of digital audiences across the web, allowing marketers and publishers to make the smartest choices as they buy and sell the most effective targeted advertising on the market. More than 1,000 brands rely on Quantcast for real-time advertising. As the leader in Big Data for the digital advertising industry, Quantcast directly measures more than 100 million web destinations, incorporates over 1 trillion new data records every month and continuously processes as much as 30 Petabytes of data every day.
Konrad Feldman, CEO, co-founded and launched Quantcast in 2006 along with Paul Sutter to transform the effectiveness of online advertising through the use of science and scalable computing. Prior to co-founding Quantcast, Feldman co-founded Searchspace (now Fortent) the leading provider of terrorist financing detection and anti-money laundering software for the world’s financial services industry. As CEO of Searchspace’s North American business, he established the business in the US and directed its rapid growth to become a market leader. Prior to Searchspace, Feldman was a Research Fellow in the Intelligent Systems Laboratory at University College London. Feldman holds a Bachelor of Science in Computer Science from University College, London.
Michael oversees Quantcast’s Legal, Corporate Development, Business Development, International Expansion, and Privacy functions. He joined the Quantcast team in May 2010 as General Counsel from Fenwick & West, a law firm specializing in technology and life science matters, where he was Partner in the Intellectual Property Group and Chair of the Privacy and Information Security Group. Michael also worked several years as a management consultant for Deloitte. He holds a B.S.E. in Computer Engineering magna cum laude from the University of Michigan and a J.D. from Stanford Law School, where he co-founded the Stanford Technology Law Review.
Christina oversees Quantcast’s global marketing strategy and operations, including demand generation, product marketing, PR and communications, recruitment and trade marketing, and corporate branding. Just prior to Quantcast, Christina was Global Director of Marketing and Communications for Omnicom Group’s Tribal DDB Worldwide, where she oversaw the company’s worldwide communication efforts, spanning over 50 offices in 30 countries, and founded its global marketing and communications network. Under her direction, Tribal DDB successfully rose to market leadership status throughout multiple countries and was the first digital agency named Advertising Age’s Global Agency Network of the Year. Christina has been piloting and growing premium, international brands since the start of her career with the luxury fashion brand, Emanuel Ungaro. She holds a B.A. from Muhlenberg College with a double major in Business Administration and Fine Arts, and a minor in Italian studies.
Jag Duggal joined Quantcast in June 2011 and is charged with strategic positioning, development and management of the company’s targeted display advertising and audience measurement solutions. Prior, he spent five years in product management at Google where he was most recently the lead on Google’s display strategy and responsible for driving the company’s brand display product suite. Duggal also worked for a decade at Oliver Wyman, a leading management consulting firm, where he was a Principal in the Digital and Strategy practice. There, he advised Fortune 100 CEOs and executive teams on development of Internet and technology businesses. Duggal developed market strategy, product requirements and business plans for multiple new businesses that scaled to greater than $500m in revenues. Duggal holds his BS in Mechanical Engineering from Yale University. He left his Masters in Public Administration at Harvard University’s Kennedy School of Government after one year to join Google.
Michael Kamprath joined Quantcast in April 2010 as Vice President of Engineering. He oversees software development and the operations of Quantcast’s data analytics. Kamprath started his career as an officer in the U.S. Air Force working in the military’s space program where he held a variety of positions, including being a mission analyst at an operational satellite ground station overseas, doing space debris research and managing space launch vehicle programs. Kamprath joined Advertising.com as an early start-up, leading the Advanced Research team in an effort to design, develop and operate the company’s AdLearn optimization system. He stayed in this role for almost eight years, helping to establish the company as having one of the most advanced optimization and bid management systems in the business. Kamprath holds his BSE and MS in Aerospace Engineering from University of Michigan.
Jim grew up in the Bay Area. He graduated from Berkeley with a BA in Physics; and from Princeton University with a PhD in the same field. After defending his PhD he realized that he wanted to move back to San Francisco. “That was the time when you would find job ads in newspapers.” He saw several open positions for Software Engineers and Easter Bunnies – the latter because it was close to Easter. He thought that the Easter Bunny thing was going to be seasonal…so he went with software. The decision landed him at Scopus Technology – where he worked on the first generation of call center applications. That was in 1994, and Jim spent the next 10 years doing enterprise software at Scopus, and some other companies. Jim started at Quantcast in 2006, as one of its earliest employees. He has seen the company grow! Jim’s team is doing innovation around the cluster, brand targeting and measurement. He has 3 sub teams, a total of 12 brilliant engineers. Jim reports to Konrad. Jim remembers when the Quantcast office was on Natoma Street, more of an alley than a street. Then, they move to 2nd and Mission, down to 2nd and Harrison, and now at 3rd and Howard. He also remembers that they use to have just 1 conference room and 1 bathroom, and in order to use the bathroom you needed to cross all the way down through the conference room. It was “quite interesting” and that office “definitely had a lot of personality.”
Vinny joined Quantcast in 2009 as one of our first sales people. Today, he oversees the company's global sales organization working with advertisers and agencies around the world. Prior to Quantcast, he was Regional VP at Yahoo! where he led their National Mid-Market team and Agency Sales teams. He has held other key ad sales roles throughout his career, notably at Ziff Davis where he generated revenue for numerous business units including PC Week and Ziff Davis Corporate. As VP of Business Development with Internal Data Group, he oversaw top strategic accounts out of New York City. Vinny holds a BA in Economics from the University of Massachusetts, Amherst.
Julio Pekarovic joined Quantcast as CFO in May of 2010 after seven years at Google as Vice President, Global Sales Finance Operations. With over twenty years in corporate operational finance, Pekarovic brings to Quantcast his broad experience in driving global revenue through worldwide operations. While at Google, he founded, developed and directed the organization responsible for supporting the operational finance activities of Google’s Global Sales Force and Business Development teams. Working closely with the Global SVP of Sales and CFO, Pekarovic helped grow Google’s annual revenue to over $20 billion. Before Google he was Finance Controller for the Global Trading Web at Commerce One and Comercial Planning Director for EXPO’98 held in Lisbon, Portugal. He holds a BA in Economics/International Area Studies from UCLA and MBA from INSEAD.
Michael graduated from UC Santa Cruz University BS in Math and Physics. During his art degree he specialized in representational sculpture. He started a PhD program at the same school, but was recruited by Intel and moved to corporate life there for 5 years. When Michael left Intel, he was the Product Engineering Manager, in charge of all memory products. He left to pursue research in Artificial Intelligence. “My father almost killed me when I left. It was such a good job, he couldn’t understand why I wanted to quit and start a PhD!” Michael focused on a PhD in Neuroscience, at University of College, London, because he was interested in how the brain works. During the PhD program, he started teaching Neurophysiology in the Medical School, and both Computer Architecture and Artificial Intelligence in the Computer Science Department. That is where he met Konrad!! With his corporate experience, when Konrad and 3 other students started a company, Michael became their advisor and mentor. He eventually worked with them full time. When Searchspace was sold in 2005, Michael was “too risk averse to join what became Quantcast.” In 2010, Konrad and Paul tried to recruit him again…and this time he accepted. Michael directs the Modeling Team as VP. The Modeling Team goal is to make continuous improvements to the performance of our targeted advertising products – this includes better ways to measure and track campaign performance, like supply curves, and evaluation of the value of each real-time bidding opportunity. Michael reports to Konrad.
Dr. Trevor Hastie is Chairman and Professor, Department of Statistics at Stanford University. Hastie began his career in the statistics and data analysis research group at AT&T Bell Laboratories. After 9 years with Bell Labs, he returned to Stanford University in 1994 as Professor in Statistics and Biostatistics. Hastie’s main research contributions have been in the field of applied nonparametric regression and classification, and he has written two books in this area: “Generalized Additive Models” (with R. Tibshirani, Chapman and Hall, 1991), and “Elements of Statistical Learning” (with R. Tibshirani and J. Friedman, Springer 2001).
He has also made contributions in statistical computing, co-editing (with J. Chambers) a large software library on modeling tools in the S language (“Statistical Models in S”, Wadsworth, 1992), which form the basis for much of the statistical modeling in R and S-plus. His current research focuses on applied problems in biology and genomics, medicine and industry, in particular data mining, prediction and classification problems. Hastie holds a B.S. from Rhodes University, M.S. from University of Cape Town and a Ph.D. from Stanford University.
Dr. Jerome H. Friedman is a Professor at Stanford University in the Department of Statistics and recognized as one of the world’s leading researchers in statistics and data mining. He has been a Professor of Statistics at Stanford University for nearly 20 years and has published on a wide range of data-mining topics including nearest neighbor classification, logistical regressions, and high dimensional data analysis.
His primary research interest is in the area of machine learning. Friedman holds an A.B. and a Ph.D. in Physics from the University of California at Berkeley.
David Rosenblatt, Google Inc.’s former President of Global Display Advertising, has joined Quantcast’s advisory board. Prior to his role at Google, Mr. Rosenblatt spent 11 years at DoubleClick, where he rose through the management ranks to become chief executive after holding several executive positions within the company, including President. Upon building DoubleClick into one of the world’s leading ad management platforms, he helped engineer the $3.1 billion sale of the advertising technology company to Google in 2007 and was then tapped to shepherd Google’s entry into display advertising.
In his role there, he managed both the integration of DoubleClick into Google and the establishment of Google’s display strategy. Prior to joining DoubleClick, Mr. Rosenblatt spent several years as an investment banker at S.G. Warburg & Co, in Hong Kong, London and New York. Mr. Rosenblatt graduated Magna Cum Laude from Yale University and the Stanford University Graduate School of Business.
Dr. Michael Jordan is a leading researcher in machine learning and artificial intelligence. He currently works at the University of California, Berkeley, in the department of Statistics and EEC, after being a MIT Professor for ten years. Jordan has received many honors for his papers at the International Conference on Machine Learning (2004), the American Control Conference (1991) and accepted the ACM/AAAI Allen Newell Award, IEEE Neural Networks Pioneer Award and NSF Presidential Young Investigator Award. He was named a Fellow of the Association for Computer Machinery in 2010 for “contributions to the theory and application of machine learning.”
Jordan received his Masters in Mathematics from Arizona State and a Ph.D. in Cognitive Science from the University of California, San Diego.
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