The Management Team
Avi Tuschman, Founder and CEO
Avi Tuschman did his undergraduate and doctoral research at Stanford, where he sought out the very best data known to science for predicting an individual’s future preferences and behaviors. This inquiry led him into the field of psychometrics.
Tuschman published the first science book on heritable personality traits and how to make predictions from them, which was published through Prometheus / Random House in 2013. The book received praise from top science writers and coverage in media from 22 countries. He also spent a large part of his career helping 18 heads of state to shape public opinion in Washington, DC, and in Latin America.
Tuschman founded Pinpoint Predictive when he realized that the data economy urgently needed a scientific standard in people data. When he saw that big-data psychometrics were feasible, accurate, and the future of people data, he set out to digitize and scale up this vital data class so that we could benefit from better insights, targeting, and people predictions.
Evan Zamir, Director of Data Science
Previous to Pinpoint, Evan Zamir spent three and a half years as one of two data scientists at Skout, one of the world’s largest location-based social-networking and dating apps. In this role, he worked across a wide-variety of challenges with numerous tools, including the automation of picture moderation via deep-learning models, up until the company’s acquisition by MeetMe.
Before moving into industry, Zamir taught for five years as an Assistant Professor at Georgia Tech. He has a BS from Johns Hopkins, a PhD from Washington University, and a Postdoc from the University of Kansas Medical Center, where he studied the biomechanics of embryonic tissues, including the heart, through various experimental, imaging, and computational methods.
Wei Hsu, Director of Engineering
Wei Hsu is a Stanford Computer Science alumnus and a full-stack engineer specialized in developing highly scalable applications. He led the engineering teams of his previous companies through two acquisitions. Previous to Pinpoint, Hsu was a team member at a venture originally seed-funded by Facebook, where he managed a ten-person team as Director of Engineering.
In his free time, Hsu is a dedicated fan of Stanford Football and also loves third-wave coffee shops.
Scot McLernon, Former CRO of YuMe; Boards of Ad Council and IAB Video
Larry Ruff, Vice Chair, Board of Directors, Fair Trade USA; Advisory Board Member, Smart Story Technologies; Former Global Marketing & Chief Strategy Officer, Levi Strauss & Company
Mike Rosner, CRO of Forensiq (now Impact Radius)
Michele Dundas Macpherson, COO, CFO of DISCERN Analytics; General Manager, NCR; CIO, ActivIdentity (now Assa Abbloy); Boston Consulting Group; successful serial entrepreneur
Jim Christie, Head of Product, DISCERN Analytics; Director of BI, Rhythm One
Alex White, VP of Product, Sharethrough
Keith Newman, President and Managing Partner, Newman Media
Jeff Abramowitz, Founder and CEO of PowerCloud (now Comcast); successful serial entrepreneur
Fred Harman, MP at Oak Investment Partners; Boards of Brit Media, Group Nine Media, Leaf Group, Enjoy, Rebel Mouse, Thrive Global, sovrn; Co-Owner of Golden State Warriors
Steve Dow, Board of Dataminr, ALDR, Arterys; founding board member of Citrix
Mark Templeton, Board of Equifax; former CEO of Citrix
Guy Saperstein, Retired Civil Rights Attorney; Past President of The Sierra Club Foundation
Larry Diamond, Senior Fellow, Hoover Institution and Freeman Spogli Institute for International Studies, Stanford University
Pinpoint is always on the lookout for data scientists, engineers, and business-development professionals at the top of their field.
If you’re passionate, laser-focused, self-motivated, highly collaborative, and interested in contributing to the future of personalization and people predictions, fill the form here and send a cover letter and CV.
Check out why the most competitive campaigns in the world are now using psychometric advertising
Stanford Professor Michal Kosinski discusses the research behind big-data psychometrics at the Computer History Museum