Artificial Intelligence (AI) can help your institution 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 financial aid strategy or fine tune your predictive models, we’ll show you how past behavior (historical data) can be used to forecast future outcomes.
HAI Analytics bridges the gap between machine learning and enrollment strategy by keeping humans at the heart of everything we do.
Emily has two decades of experience building and implementing statistical models and has helped institutions of all sizes, types, and selectivity use model results to address their biggest challenges in real time. Throughout her career, she has worked with higher ed institutions to predict and improve yield, effectively allocate financial aid dollars, and support student success.
Emily began her career in enrollment management at Syracuse University, where she worked for 12 years, most recently as the Assistant Vice President of Enrollment Management. At Syracuse, Emily built modeling strategies that fueled record applications and enrollment. Prior to co-founding HAI Analytics, Emily served as the Senior Vice President of Enrollment Management Services at Maguire Associates. In this position, Emily led the company’s predictive modeling division and was a member of the senior leadership team.
Emily earned 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 in higher education to her role, including the use of machine learning and AI algorithms to help institutions meet their enrollment and financial goals. Jen has worked with 50+ higher education institutions, using data to help them optimize the use of financial aid in order to boost enrollment and retention. She has spent her career creating customized strategies for institutions that optimize outcomes and improve analytic processes at each stage of the student lifecycle.
Before co-founding HAI Analytics, Jen served as Associate Vice President at Maguire Associates, where she helped to oversee the modeling division and worked directly with a diverse set of institutions on issues related to recruitment, enrollment, financial aid, and retention.
Passionate about the transformational power of data, Jen is a volunteer for Alteryx for Good. In this role, she works with non-profits to improve their analytic capabilities by helping them develop workflows in Alteryx Designer. These efforts help participating organizations further advance their mission, by streamlining timely processes and constructing workflows that allow for deeper analysis.
Jen earned a master’s degree in Psychology, with a focus in statistics, from Brandeis University and a bachelor’s degree in Psychology from Elon University.