With over fifteen years dedicated to research and teaching in finance, I bring extensive expertise in credit risk modeling, financial stability, and the regulatory landscape of banking. My academic journey spans from Rutgers University, where I earned a Ph.D. in Finance and Economics, to tenure-track positions at prestigious institutions like Claremont Graduate University and Lehigh University. During my tenure, I have delved deeply into topics such as bank capital requirements, financial regulation, and the application of big data analytics in finance, particularly in the realms of risk management and securitization. My recent scholarly pursuits have focused on the intersection of finance and innovation, particularly venture capital (VC) financing and financial technology (FinTech). I am passionate about exploring how these areas drive economic growth and reshape traditional financial practices. Furthermore, my ongoing research into machine learning applications in financial risk management underscores my commitment to advancing responsible AI and ensuring the transparency and interpretability of predictive models. Throughout my academic career, I have not only contributed significantly to research literature but also mentored students in understanding complex financial concepts. From derivatives and risk management to financial engineering and securitization, I am dedicated to equipping future finance professionals with the knowledge and skills needed to navigate the evolving financial landscape. My approach combines rigorous academic inquiry with practical insights gained from my roles as a visiting scholar at the Federal Reserve Bank of San Francisco and various leadership positions in academic programs focused on financial engineering.