A photo of Costis Maglaras.

Costis Maglaras

Dean and David and Lyn Silfen Professor of Business, Columbia Business School



Costis Maglaras is dean of Columbia Business School, where he also holds the title of David and Lyn Silfen Professor of Business.

He is an expert in operations management, data science, and quantitative finance. His research on stochastic networks and quantitative finance encompasses the theoretical as well as the practical, applying to the use of congestion pricing on communication and transportation networks; dynamic incentives in ride-hailing networks; questions of algorithmic pricing and the diffusion of information over social networks; and questions of modern market microstructure in financial markets and quantitative trading. He has received several research awards for his work.

Dean Maglaras teaches in both the MBA and PhD programs. He received the Dean's Award for Teaching Excellence for the core course Managerial Statistics, and the Dean's Award for Teaching Innovation for his work on the Technology and Analytics curriculum in Columbia's MBA and EMBA programs. He has advised 18 doctoral students who have gone into leadership positions in academia and industry.

Prior to assuming his current position, Maglaras served in several leadership roles at Columbia Business School, including that of Decision, Risk & Operations Division chair; doctoral program director; and executive committee member for the University's Data Science Institute. He is a Fellow of INFORMS; an Honorary Fellow of the Foreign Policy Association; and a member of the Economic Club of New York.

In 2007, Maglaras helped found Mismi Inc., a financial technology firm that introduced innovative quantitative electronic trading algorithms and transaction analytics tools to the marketplace. He served as Mismi’s head of research through 2014. He is a frequent consultant to industry, primarily in areas of quantitative finance and electronic trading.

He received his BS in electrical engineering from Imperial College, London, and holds MS and PhD degrees in electrical engineering from Stanford University.