Dan Gabriel Anghel is an Associate Professor in the Department of Money and Banking at the Faculty of Finance and Banking and a PhD supervisor within the Doctoral School of Finance at the Bucharest University of Economic Studies. He earned his PhD in Finance from the Bucharest University of Economic Studies in 2015 and holds a Bachelor’s degree in Applied Mathematics from the University of Bucharest. His teaching portfolio includes courses such as Derivatives and Risk Management, Capital Markets, Modelling Financial and Monetary Decisions, and Financial Engineering. His research lies at the intersection of asset pricing, market efficiency, and financial econometrics, with particular emphasis on data-snooping bias, technical analysis, and machine-learning applications in finance. He has published in leading academic journals, including the Journal of Banking & Finance, Critical Finance Review, Economics Letters, Economic Modelling, Finance Research Letters, and International Review of Economics & Finance. He has served as principal investigator or researcher on several competitively funded national and international research grants, with a total value exceeding €250,000. He was a Fulbright Visiting Scholar at the University of Pennsylvania (2023-2024) with the research project “Applications of Multivariate Extreme Value Theory to Climate Economics”. In recognition of his research contributions, he was awarded the 2022 Researcher of the Year Award by the Bucharest University of Economic Studies. His current research focuses on climate and financial tail risk, machine-learning applications in finance, sentiment-driven market dynamics, and high-frequency financial networks.