Olivier Guéant is a French mathematician, focusing on mean field game theory and financial mathematics. He is currently a Full Professor of applied mathematics at the Université Paris 1 Panthéon Sorbonne.
Guéant studied mathematics and economics at Ecole Normale Supérieure[1] and also studied at Harvard. He defended the first PhD thesis on mean field games under the supervision of Pierre-Louis Lions. Guéant's PhD was awarded the Rosemont Demassieux prize.[2]
In 2010, along with Jean-Michel Lasry, Pierre-Louis Lions, and Henri Verdier, Guéant founded a start-up called MFG-Labs,[3] pioneering Big Data. The company was acquired by Havas Media in 2013.[4]
From 2010 to 2015, Guéant served as Associate professor in applied mathematics at Paris Diderot University. He then briefly served as Professor of Quantitative finance at ENSAE, and then accepted a Full Professorship of applied mathematics at the Sorbonne where he now serves.
His research on financial mathematics focuses on optimal execution and market making.[5] He also worked with Roger Guesnerie, Jean-Michel Lasry and Olivier David Zerbib on environmental interest rates.
Between 2014 and 2017, Guéant was sitting on the Scientific Advisory Board of Havas Media.
As an expert of financial mathematics and stochastic control, Guéant has published several books and articles on liquidity management, optimal orders execution and multi-asset market making.[6] He is also an expert on pricing and asset management. Along with Charles-Albert Lehalle and Joaquin Fernandez-Tapia, he notably solved the Avellaneda-Stoikov equations, which are key to dealing with inventory risk in market making.[7]