Faculty

Kyle is a data scientist at Stripe, a technology company that builds economic infrastructure for the internet, where he partners with product teams creating tools for startups and platform businesses. To support product launches and complex experiments, he develops statistical methods and infrastructure.  In his research career, Kyle worked at the Federal Reserve Bank of Boston's Center for Behavioral Economics, running a survey on financial literacy and subprime mortgages. At the University of...

Javi, as he prefers to be called, is a senior data scientist at Compassion International, where he applies econometrics, machine learning, and experimental methods. He uses his skill set to understand and guide the development of poverty alleviation interventions in impoverished communities around the world. Javi is a development economist by training, who combines his international field research experiences with the knowledge gained at the Center for Health Policy at Stanford University. Javi...

Hartmut Fischer received his Ph.D. from the University of California, Berkeley. Dr. Fischer has a number of areas of specialization: international trade, international finance and development economics. He has served as a consultant to the World Bank and the European Union. Research interests include economic problems faced by countries in transition from socialist market economies, country risk analysis, issues of governance, the process of convergence vs. divergence between poor and rich...

Adam Gorski is a data scientist at Amitree, Inc., a technology company in San Francisco. He specializes in algorithm development, natural language processing, and social graph analysis. His education background is in economics, public policy, and data analysis.

Andrew Hobbs studies how droughts, floods, and other disasters affect people, and develops tools to reduce the impact of climate change on farmers. He focuses in particular on how the costs of climate shocks are distributed within households. He is currently working on combining machine learning and satellite data for faster and more accurate detection of disasters and on insurance to sustain women's businesses through droughts in Northern Kenya. Before entering academia, Andrew studied climate...

Moonhawk Kim is the supervisor of analytics at the San Francisco Unified School District, California's 7th largest school district. His mandate is to use quantitative analysis and social science to improve education for the nearly 60,000 children enrolled in the school district. His current responsibilities include improving social and technical data infrastructures to enable generations of actionable insights, designing novel reports and visualizations to facilitate better understanding of...

Prof. Lehmann obtained his PhD from Cornell University and taught at the University of San Francisco in traditional and on-line venues. He is the author of The Irwin Guide To Using The Wall Street Journal, which sold 250,000 copies in seven editions. Prof. Lehmann also developed a popular seminar, Be Your Own Economist ®, on business and investment conditions, that he offers to investors, corporations and professional groups. The San Francisco media frequently interview Prof. Lehmann on current...

Charles N'cho-Oguie (N'cho) is Emeritus Professor of Economics at the University of San Francisco (USF), where he taught macroeconomics, econometrics, and development macroeconomics for nearly two decades (1986–2005). Upon early retirement, Professor N'cho devoted the majority of his time to development work, especially in Africa. He has also spent more than 20 years working as a senior international consultant for the World Bank, the African Development Bank (AfDB), and the United Nations...

Florent Silve is leading the data scientist and machine learning team at Sonder, a tech-driven hospitality company based in San Francisco. He built the data science and engineering team from the ground up and worked on the development of the company’s proprietary models and algorithms for real-estate valuation and dynamic pricing. Prior to his time at Sonder,  Florent was a staff scientist at Premise Data where he worked on building data and analytics products leveraging the company’s ground...