My work sits at the intersection of finance, data, institutions, and real-world decision-making. I am especially interested in collaborations that bring these elements together in ways that connect academic research, classroom learning, and the practical problems faced by firms, communities, financial institutions, workforce organizations, and public-serving agencies.

Broadly, I am looking for opportunities to collaborate with partners who are willing to share problems, questions, institutional knowledge, data possibilities, practitioner perspectives, or student-facing project ideas. These collaborations could take many forms: guest conversations, student projects, applied case studies, community workshops, research partnerships, advisory feedback, data-building efforts, or something more informal that begins with a conversation.

A central goal of my teaching and research is to help students and researchers understand how financial systems operate in practice. This includes how firms manage risk, how households and investors make financial decisions, how institutions shape access to finance, and how local economies respond to major shocks such as technological change, pandemics, and natural disasters.

I am open to many kinds of arrangements because useful collaborations often begin without a fully defined outcome. Sometimes the most important ideas come from exploratory conversations, unexpected connections, or learning how a problem looks from the perspective of people working directly with it.

Applied Finance and Student Learning

I am currently developing more project-based and experiential learning opportunities in finance courses. Potential collaborations could include guest discussions, student project prompts, poster sessions, case materials, practitioner feedback, or examples of real financial decisions faced by firms and organizations.

Examples of possible student-facing projects include:

• how firms manage exchange-rate exposure and global supply-chain risk;

• how local businesses make financing, investment, or risk-management decisions;

• how households and communities interact with financial institutions;

• how students can use data and AI tools responsibly to analyze financial problems.

Financial Literacy and Community Finance

I am interested in building financial literacy and financial decision-making initiatives that can serve students, university staff, and the broader community. These projects may focus on practical topics such as budgeting, credit, saving, investing, retirement planning, insurance, and financial wellness.

Partners can help by sharing community needs, offering practitioner perspectives, reviewing student-facing materials, or co-developing workshops and outreach activities.

Data, AI, and Project Infrastructure

Many of my research and teaching projects involve building large datasets from public, administrative, regulatory, or text-based sources. I am interested in collaborations that help students learn how to work with real-world data while also creating reusable course infrastructure.

Possible areas include dashboards, firm databases, AI-supported learning tools, data-driven case studies, and templates that students can use to analyze financial and economic questions.

Disasters, Labor Markets, and Economic Resilience

A major part of my research examines how large shocks affect labor markets, firms, financial institutions, and communities. I am especially interested in how local economies respond to natural disasters, public health shocks, and other disruptions.

Potential collaborations could involve practitioner feedback, advisory conversations, student projects, community-facing dissemination, or applied discussions about workforce recovery, emergency preparedness, local resilience, and financial access after shocks.

I welcome conversations with organizations that may be interested in:

• sharing real-world examples for student learning;

• serving as guest speakers or project judges;

• helping students understand applied financial and economic problems;

• providing practitioner feedback on research ideas;

• collaborating on community-facing financial education;

• identifying data, policy, or implementation questions that would benefit from academic analysis.

These collaborations do not need to fit into a single box. I am especially interested in partnerships that help connect finance, data, students, and community impact.