Summary
Murat Aydogdu is an associate professor and data scientist with over two decades of experience spanning academia, regulatory economics, and applied machine learning in finance. He holds a PhD in Finance and a master's in Information and Data Science from UC Berkeley, and his research combines deep learning (notably LSTMs) with financial disclosures to study activist shareholders, mutual funds, and market microstructure. A seasoned educator, he has taught finance and analytics for 15+ years, chaired a department, and developed online and active-learning curricula that bridge industry and classroom. Prior roles include financial economist at the SEC and course development for data science platforms, reflecting a rare mix of policy, pedagogy, and hands-on modeling. Based in Massachusetts, he is known for turning complex regulatory and textual finance problems into reproducible empirical research and practical classroom innovations.
11 years of coding experience
22 years of employment as a software developer
MBA, Finance, MBA, Finance at UMass Boston
High School, High School at Samsun Anadolu Lisesi
BS, Computer Science, BS, Computer Science at Hacettepe University
PhD, Finance, PhD, Finance at University of Iowa
Master's Degree, Information and Data Science, Master's Degree, Information and Data Science at UC Berkeley School of Information
English, Turkish