Nicolas Lambert

Research Statement

Nicolas Lambert's research is in microeconomic theory, and spans the areas of information economics, contract theory, market design, and decision making under uncertainty. In recent papers, he investigates how to elicit information on uncertainty from experts, examines the type of information that can be procured in contingent claims markets, and studies the properties of auctions used in social lending.

Bio

Nicolas Lambert is an Assistant Professor at the Stanford Graduate School of Business, where he teaches Managerial Economics in the first year of the MBA program. His research interests are in microeconomic theory, with a focus on information economics. His recent work explores the questions of pricing and evaluating information goods in single-agent settings and market environments. He received a BSc/MSc in mathematics and economics from École Polytechnique (France), and a PhD in computer science from Stanford University. He is an alumnus of the Corps des Mines (France).

Academic Degrees

• PhD in Computer Science, Stanford University, 2010
• MSc in Computer Science, Stanford University, 2009
• Graduate of the Corps des Mines, Government and Business Program, 2005
• BSc in Mathematics and Economics, Ecole Polytechnique, 2002

Academic Appointments

• At Stanford University since 2010

Awards and Honors

• MBA Class of 1969 Faculty Scholar for 2015-16
• Arthur L. Samuel Award, 2011
• Google Fellowship in Market Algorithms, Google Inc., 2009
• ACM Conference on Economics and Computation Best Paper Awards, 2008 and 2009

Teaching

Degree Courses

2018-19

MGTECON 203: Managerial Economics - Accelerated

MGTECON 203 uses the same math as 200 (derivatives and algebra, and not much more) but uses it more often. Previous economics is not necessary, but it does help to be comfortable with simple mathematical models. The business world has become more...

MGTECON 632: Topics in Continuous Time Dynamics

This seminar-style course studies a selection of micro-economic models in dynamic settings, and explores the use of continuous-time methods to solve them. Topics to be covered include experimentation games, social learning, principal-agent...

2017-18

MGTECON 632: Topics in Continuous Time Dynamics

This seminar-style course studies a selection of micro-economic models in dynamic settings, and explores the use of continuous-time methods to solve them. Topics to be covered include experimentation games, social learning, principal-agent...

Insights by Stanford Business

writtenExploring Auction Models for Peer-to-Peer Lending

April 1, 2011

A study says in the emerging market for peer-to-peer loans, the auction method that's used can make an important difference to the borrower.