We pioneered the predictive analytics that helped the Obama campaign make history in 2008, and have nearly two decades of experience helping companies and campaigns accurately target their communication and marketing.
Haystaq co-founder and CEO Ken Strasma is a pioneer in the field of predictive analytics in high-stakes Presidential campaigns. He began his career in politics in 1986, running a successful statewide campaign, and the served as the director of state legislative caucuses in Wisconsin and Minnesota. In 1997, he moved to Washington DC and became the Research Director for the National Committee for an Effective Congress, where he produced geographic targeting for Democratic candidates for virtually every office in the country. In 2003, Ken launched his own firm, Strategic Telemetry to focus on individual level predictive modeling. Ken served as the national targeting director for John Kerry’s presidential campaign 2004, and again for President Obama’s 2008 campaign. Ken’s firm, Strategic Telemetry developed the predictive models that propelled then-Senator Barack Obama to a dramatic victory over Hillary Clinton in the Democratic primaries, and then a historic winning campaign for the White House. His work also provided the analytic guidance to Michael Bloomberg’s 2009 re-election campaign as well as hundreds of statewide and congressional races and international campaigns on four continents.
In 2012, Ken launched HaystaqDNA, a firm that has been on the forefront of bringing political-style microtargeting to commercial clients. HaystaqDNA has worked for multiple Fortune 500 companies, and boasts a commercial client list with a combined market capitalization of over $600 billion. Ken has been a frequent speaker on the use of predictive analytics in politics and business, including keynoting the annual SPSS convention, and giving guest lectures at Princeton, Columbia and the University of Wisconsin. He has authored or has been the subject of numerous articles and studies on the subject in publications including the New York Times, the Harvard Business Review, The Atlantic, The San Francisco Chronicle, FiveThirtyEight.com and Campaigns and Elections Magazine. Ken is the author of an upcoming book on predictive analytics in politics that will be published by Cambridge University Press in late 2015.
Ken has three young daughters, so he has no free time, but if he did, he would once again indulge in his passion for Shakespeare, running, and adrenaline sports like skydiving and bungee jumping.
Andrew has over a decade of experience helping clients in the public and private sectors turn complicated data sets into actionable results. His expertise has benefited races at all levels including Obama for America, Bloomberg for Mayor, the Democratic Senate Campaign Committee, as well as a variety of international electoral campaigns. In his role at Haystaq, he is responsible for overseeing client engagements, as well as managing the firm’s operations. Prior to joining to Haystaq, Andrew was Vice President of Strategic Services at Strategic Telemetry, and before then a Vice President at KRC Research with responsibility over financial and field matters. An expert in research operations, he has overseen the implementation of hundreds of focus groups and surveys on six continents. Andrew previously served in the Clinton Administration as an aide to the U.S. Secretary of the Interior. A Wisconsin native, Andrew received an MBA from Johns Hopkins University and a B.A. in Economics and Politics & Government from Ripon College. Andrew lives in Washington DC with his wife Beth and two children - Miles and Ellis. When not consuming political news for fun, he turns his attention to the Green Bay Packers.
Brad leads a portfolio of client engagements and the company’s development of analytic products. Prior to joining the company, Brad has spent 20 years working for a variety of software and Internet companies, in roles ranging from programming to management. For the last ten years, Brad has primarily worked in senior product management roles. His work experience includes a diverse range of systems and markets including domain registration, navigation, search engines, media asset management systems, fantasy sports websites, government procurement systems, and automated scanning and claims processing systems. Brad’s wide-ranging expertise in grappling with and deriving insights from large and rapidly changing data sets has positioned him to tackle the wide variety of unique challenges he handles at Haystaq. Brad has a Bachelors in Computer Science from Middlebury College and a MBA from UCLA Anderson.
Willie has nearly a decade of experience in helping campaigns and organizations harness the power of predictive analytics, including serving as project manager for modeling on the Obama for America campaign in 2008, managing Election Day boiler-rooms, and advising senior officials on dozens of campaigns. In 2011 and 2012, he served as the lead map drawing consultant to the Arizona Independent Redistricting Commission, and helped to shape the state’s Congressional and Legislative Districts. Willie has recently earned his MBA from Arizona State University, and he has a B.A. in Political Communication from The George Washington University.
Madeline O'Connor is an analyst at at HastaqDNA, where she works closely with data scientists and engineers to help clients develop actionable insights from data & analytics in her fields of expertise, including U.S politics. She has varied academic and research experience in public health, politics, and natural sciences.
Madeline is a Wisconsin native and holds a B.A. in Political Science from Colorado College.
Sébastien Vidal is a senior Analyst at HaystaqDNA. His global experience -- he was born in France, and was educated and worked there as well as in the U.S., Canada and England -- gives him an unique perspective on analytic challenges.
Sébastien brings a diverse set of professional experiences to Haystaq, including work at the New York offices of a top European investment bank, a global construction engineering company, and a mobile telecommunications start-up. He earned a Specialized Master in management from HEC Paris, the top European business school, and an MSc in engineering with specialization in data processing from the National Polytechnic Institute of Grenoble, France.
In his free time, Sébastien is an accomplished photographer (his portfolio can be viewed at http://www.live-the-moment.com).
Marcin Kossakowski is an Engineer at HaystaqDNA. He specializes in designing and building web applications as well as internal business tools. Marcin’s expertise includes graphic design, web development and managing web hosting servers.
Prior to working with HaystaqDNA, Marcin worked for an online marketing agency where he developed large-scale content management platforms supporting over 600 customer websites.
Marcin has a MS degree in Control Engineering and Robotics from Polytechnic University of Bialystok, Poland.
In his spare time Marcin enjoys hiking, photography and playing guitar. His personal website can be found at www.marcinkossakowski.com
Blake Silberberg is a Junior Analyst and Programmer at HaystaqDNA, where he focuses on using a wide array of technologies to help conduct detailed analyses. He also supports and maintains internal data systems and tools. Blake graduated from the University of Rochester with a B.A. in Political Science and additional academic and research experience in Computer Science and Film and Media Studies. When not absorbed in computers or politics, Blake enjoys playing Ultimate Frisbee and cheering on the Baltimore Orioles.
Sergio Gutierrez is an Engineer at HaystaqDNA, where he specializes in Web development, data visualization and other data engineering tasks. He joined Haystaq as an intern while pursuing his Masters in Computer Science at NYU.
Before coming to the US, Sergio worked as a consultant in the telecom sector after pursuing his Telecommunications Engineering degree in Spain.
We work with our clients to determine what we wish to predict and impact, then we collect data that can help make a difference.
Our team combines observations and opinions with our dataset of potentially thousands of indicators on any given individual.
Complex algorithms turn observations into models that can predict attitudes and behaviors.
We continually monitor everything we do to ensure the success of our models.