German Creamer, Ph.D., is an Associate Professor in the School of Systems and Enterprises and in the Howe School of Technology Management at Stevens Institute of Technology. Dr. Creamer has been a senior manager in the Risk, Information and Banking Division in American Express where he worked in the enterprise-wide risk management and the information management groups. He has taught at Columbia University, Tulane University, and in several leading Latin American business schools. Professor Creamer has been the manager of planning and economic studies at Banco del Pacifico (Ecuador), program officer for the United Nations Development Programme, and economic advisor to the president of Ecuador, and to the government of Equatorial Guinea. He has also consulted for several hedge funds and international organizations such as United Nations Development Programme, World Bank, and US Agency for International Development. Dr. Creamer has a PhD in Computer Science (specialized on computational finance), a MSc in Financial Engineering, both from Columbia University, and a PhD in Economics from the University of Notre Dame. He has published several books and articles, and presented several papers in major conferences in his area of specialization. Professor Creamer is also a CFA charter holder. His current area of research is on algorithmic trading, risk management, financial information systems and data mining/machine learning applications to finance.
Background and Early Life
Doctor of Philosophy, Columbia University, USA. Computer Science (computational finance), 2007.
Master of Science, Columbia University. Financial Engineering, 2002.
Doctor of Philosophy, University of Notre Dame, IN, USA. Economics, 1993.
M.A., University of Notre Dame,IN, USA. Economics, 1989.
Licentiate, Sociology, Pontifical Catholic University of Ecuador. 1986.
Licentiate, Psychology,Pontifical Catholic University of Ecuador. 1985.
Life at Stevens
Master's Thesis Students
Computational Finance, Risk Management, Automated Trading, Decision Support Systems and Machine Learning Applications to Finance.