Overview
Dr. Alessio Brini is a Faculty at Duke University's Pratt School of Engineering, specializing in the Digital Asset Research & Engineering Collaborative (DAREC). Alessio addresses financial challenges in digital assets and decentralized finance (DeFi) with a focus on applied machine learning and data science methodologies. His proficiency spans all the diverse machine learning paradigms, including supervised, unsupervised, and reinforcement learning.
Dr. Brini earned his Ph.D. in Mathematical Finance from Scuola Normale Superiore, where he concentrated on implementing value-based and policy-based reinforcement learning algorithms to solve various economic and financial issues. His thesis, "Reinforcement learning for sequential decision-making: a data-driven approach for finance," reflects his deep commitment to the intersection of finance and technology.
At Duke University, Dr. Brini has been instrumental in delivering coursework on Machine Learning for Fintech, Data Wrangling and Visualization with Python, and Introduction to Statistics for the Master of Engineering in Financial Technology program. He has also overseen FinTech Capstone Projects and led summer research initiatives.
Dr. Brini's research contributions are well-recognized. His working papers and conference presentations further demonstrate his thought leadership in areas like cryptocurrency market stability and deep reinforcement learning for continuous financial trading.
In addition to his research and teaching roles, Dr. Brini actively contributes to the academic community through referee services. He has also been involved in conference organizations and graduate student advising.