Our People
Who We Are
The Financial Intelligence for Consumer Well-being Lab brings together an interdisciplinary team of consumer scientists, behavioral economists, data scientists, and financial planning scholars. Our members share a common goal: using rigorous evidence and advanced analytics—especially machine learning and AI—to understand how people make financial decisions and how those decisions affect their well-being.
Faculty, graduate students, and undergraduate researchers in the lab collaborate closely with industry partners, community organizations, and public agencies. We value mentorship, inclusion, and ethical practice, and we actively support students who want to build research skills, pursue graduate study, or connect academic insights to real-world financial challenges.
FINE Members & Associates

Associate Professor of Financial Counseling and Planning
765-494-9847
Phone- heo28@purdue.eduEmail
Marriot Hall 251, 900 Mitch Daniels Blvd
Address
West Lafayette, IN 47906
Office: 765-494-9847- https://hhs.purdue.edu/finelab/about/wookjae-heo/Personal Website
Wookjae Heo, PhD, leads the Financial Intelligence for Consumer Well-Being Lab and serves as an Associate Professor of Financial Counseling and Planning in Purdue University’s Division of Consumer Science. His work combines behavioral personal finance and data science to understand financial stress, risk tolerance, and household decision-making, with a focus on improving financial well-being for diverse and underserved consumers.
Wookjae Heo (허욱재)

Associate Faculty
Purushottam Bhandare, PhD, is a graduate of the University of Chicago and currently collaborates with Prof. Wookjae Heo at FinELab (Financial Intelligence for Consumer Well-Being). His research examines the behavioral externalities of artificial intelligence in consumer finance, with a focus on how algorithmic systems shape decision-making, inclusion, and financial well-being. More broadly, his work sits at the intersection of public policy, financial inclusion, behavioral science, and financial technology.
Purushottam Bhandare

Research Assistant
- park1707@purdue.eduEmail
Hye Jun Park is a Ph.D Candidate working under the supervision of Dr. Wookjae Heo. Her research focuses on consumer well-being, with particular interest in how financial experiences and everyday money management shape individuals’ quality of life.
Hye Jun Park

Associate Faculty
Woojin Lee, Ph.D., is an Assistant Professor in the Department of Retail, Hospitality, and Tourism Management at the University of Tennessee, Knoxville. His research focuses on big data analytics, system optimization, and digital transformation within the service industries. Specifically, he examines how emerging technologies and algorithmic systems shape business resilience and productivity, as well as customer experience.
Woojin Lee

Senior Associate Faculty
- grable@uga.eduEmail
John Grable, Ph.D., CFP® is a Full Professor at the University of Georgia and an internationally recognized expert in financial behavior and financial risk tolerance. In the FinE Lab, he serves as a Senior Associate Researcher, providing advisory support and strategic guidance on research related to consumer financial decision-making.
John E. Grable

Associate Faculty
- junhyug@ewha.ac.krEmail
Junhyug Noh, Ph.D., is an Assistant Professor in the Department of Artificial Intelligence at Ewha Womans University. He serves as an AI advisor to the Financial Intelligence for Consumer Well-being (FinELab), providing strategic guidance on AI research directions and applications.
Junhyug Noh

Research Associate
- y.jo@ufl.eduEmail
Yeonseo Jo is a Ph.D. candidate at the University of Florida and a Research Assistant with the FinE Lab. Her work focuses on consumer behavior and the application of natural language processing (NLP) methods to analyze consumer narratives and financial decision-making.
Yeonseo Jo

Research Assistant
Jaeyi Sung is an M.S. student at Ewha Womans University and a Research Assistant with the FinE Lab. She specializes in machine learning and deep learning, focusing on financial data analytics and the development of predictive algorithms.
Jaeyi Sung