PhD candidate in Finance at Louisiana State University's E. J. Ourso College of Business (expected May 2026), currently on the academic job market. My research focuses on venture capital, corporate finance, banking, and fintech.
My job market paper examines how political distance between investors and startups shapes venture capital funding outcomes. Additional research on brand equity and debt diversification (with Professors David C. Mauer and Miaomiao Yu) is under review at Financial Management. I employ rigorous empirical methods including instrumental variables, natural experiments, and survival analysis.
I am committed to both research excellence and effective teaching. For my first semester teaching Principles of Finance with over 250 students, I received the College Teaching Award for 2024-2025 and was recognized by LSU's Communication across the Curriculum (CxC) program for exceptional communication and creating supportive learning environments. My teaching evaluation is 3.7/4.0. Outside academia, I enjoy snowboarding and fishing.
Venture Capital, Corporate Finance, Banking, Fintech
Examines whether partisan separation between investor and startup locations shapes venture capital funding decisions. Finds that political distance significantly reduces investment likelihood through soft-information screening channels.
Revise & Resubmit at Financial Management
Presentations: FMA 2024, SFA 2024, University of Alabama, Louisiana State University
Examines whether financial institution-backed venture capital enhances FinTech startups' ability to raise subsequent equity financing using global data from 2010-2024.
Enrollment: 245 Students | Evaluation: 3.7/4.0
Enrollment: 255 Students | Evaluation: 3.1/4.0 | College Teaching Award 2024-2025
Louisiana State University Seminar (2022, 2023, 2024, 2025)
Financial Management Association Annual Meeting (2022 - Discussion, 2024)
Southern Finance Association Annual Meeting (2024)
Programming: R, Stata, SAS
I study whether partisan separation between investor and startup locations shapes who gets funded in venture capital. Using a within-market, deal-anchored design on U.S. data from 2000–2024 and measuring political distance (PD) from county presidential vote shares, I find that a one-standard-deviation increase in PD lowers investment incidence by about 0.7–0.8 percentage points—roughly eight percent of the baseline rate. The association is robust across specifications and is corroborated by an instrumental-variables analysis. Mechanism tests are most consistent with a soft-information channel at screening: the penalty is larger when information is harder to verify and smaller where information is richer or more standardized. Alternative explanations tied to generic investor ability, systematic political risk, sectoral exposure, and pure geography receive little support. Conditional on funding, higher PD is associated with more IPOs or M&A and fewer write-offs, consistent with selection at a higher funding bar.
Revise & Resubmit at Financial Management
Presentations: FMA 2024, SFA 2024, University of Alabama, Louisiana State University
The optimal number of debt types in firms’ debt structures is determined by a tradeoff between the costs of coordination failure and the benefits of reducing holdup problems. Brand equity affects this tradeoff by signaling larger and more stable future cash flows and greater awareness of firms’ products and services. We argue that these characteristics may allow for greater debt diversity by decreasing expected costs of coordination failure while enhancing the benefits of reduced holdup problems. Using trademarks to construct brand equity measures, we find that more valuable brand equity positively predicts debt diversity. Natural experiments and IV analysis help establish causality. Cross-sectional analysis shows that the brand equity and debt diversity relationship is stronger when firms face more intense product market competition and information asymmetry.
This study examines whether financial institution-backed venture capital (FI-VC) enhances FinTech startups' ability to raise subsequent equity financing. Using global data on 2,891 FinTech startups from 2010- 2024, I employ discrete-time logit models to estimate the probability of securing new equity rounds. FinTech startups backed by FI-VC exhibit 50% higher odds of raising subsequent financing (p<0.001). Survival analysis confirms FI-VC-backed startups are 33% more likely to secure financing at any point in time. The effect is stronger for later-stage investments and varied by COVID-19 timing. Results suggest financial institution backing serves as a quality signal, reducing information asymmetries for future investors.