Faculty

Evan is a Senior Manager of Product Innovation at Netflix for Growth and Messaging Algorithms. He leads the development of machine learning algorithms that personalize the billions of emails and push notifications that Netflix sends every year. He specializes in the development of algorithms that measure the causal impact of customer experiences and then optimizes them. Prior to this role, he has five years of experience as a data scientist where he built fraud algorithms for Capital One and...

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 senior data scientist at DocuSign. He specializes in predictive modeling, experimentation, and natural language processing. His education background is in economics, public policy, and data analysis.

Moonhawk Kim is the director of research practice partnerships and community engagement at UC Berkeley's Graduate School of Education. He is building up infrastructure for practitioners at Oakland Unified School District and researchers and staff at UC Berkeley to engage in productive collaborative partnership projects to improve educational outcomes. Prior to his current role, Moonhawk was supervisor of analytics at the San Francisco Unified School District (SFUSD), where he used social...

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...

Nihar is an economist at Facebook, where he currently works on financial and macroeconomic questions around the cryptocurrency Libra. He has also worked on experimentation projects, particularly for Facebook's advertising and payments platforms. Nihar has previously worked as an equity derivatives trader at D.E. Shaw, a hedge fund, and has served as fellow for the Data Science for Social Good Fellowship.

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...

Celine Sun is the Head of Data Science at Dropbox, where her team works on machine learning modeling, causal inference, and experimentation to drive Dropbox’s go-to-market strategy. Previously she was the Senior Director of Data Science at Wealthfront, an online financial advising company. Celine specializes in applying economic/econometric theory to business problems and delivering scaled solutions.