Artificial intelligence can help your business identify patterns and relationships, but that’s just half of the equation. In a field dominated by plug-and-play modeling solutions, we provide ongoing interpretation and strategy to help keep you nimble and effective. Whether you want to optimize your ad spend, tighten your inventory, or target the best prospects, we’ll show you how past behavior (historical data) can be used to forecast future outcomes.
About Us
We are bridging the gap between Human and Artificial Intelligence.
HAI Analytics bridges the gap between machine learning and business strategy by keeping humans at the heart of everything we do.
The Team
Meet the people behind HAI Analytics
Emily has 17 years of experience in building and implementing statistical models that help organizations address their biggest challenges in real time.
Prior to founding HAI Analytics, Emily was Senior Vice President of Enrollment Management Services at Maguire Associates, a research-based consulting firm. In this position, Emily led the company’s predictive modeling division and was a member of the senior leadership team. She has also worked within a large university setting, developing modeling strategies that fueled record applications and enrollments.
Emily holds a PhD in Social and Personality Psychology with a concentration in statistics from Cornell University, and a bachelor’s degree in Psychology and Philosophy from Boston College.
Jen brings over a decade of research and statistical experience to her role, including the use and implementation of machine learning and AI algorithms. Before co-founding HAI Analytics, she served as Associate Vice President at Maguire Associates, a research-based consulting firm. In this role, she helped to oversee the modeling division and built econometric models to help institutions meet their enrollment and financial goals.
Jen holds a master’s degree in Psychology, with a focus in statistics, from Brandeis University, and bachelor’s degree in Psychology from Elon University.