Sign up to save your podcasts
Or
Share Spotlight Three: Deep Learning in Fixed Income Markets - Out Soon!
Share to email
Share to Facebook
Share to X
Share to email
Share to Facebook
Share to X
Or
Spotlight Three: Deep Learning in Fixed Income Markets - Out Soon!
Spotlight Three is a snippet from our upcoming episode: Kay Giesecke - Deep Learning in Fixed Income Markets. Listen to the full episode as soon as it comes out, by subscribing to Redefining AI.
Who is Kay Giesecke?
Kay is the Founder, Chairman and Chief Scientist at Infima. He is also Professor of Management Science & Engineering at Stanford University, the director of the Advanced Financial Technologies Laboratory, and the director of the Mathematical and Computational Finance Program.
Kay serves on the Governing Board and Scientific Advisory Board of the Consortium for Data Analytics in Risk. He is a member of the Council of the Bachelier Finance Society. He is a financial technologist interested in solving the challenging modeling, statistical, and computational problems arising in fixed-income and credit markets. Together with his students at Stanford, Kay has pioneered the core elements of the deep learning and computational technologies underpinning Infima’s solutions.
Kay’s research has won several awards, including the JP Morgan AI Faculty Research Award (2019) and the Fama/DFA Prize (2011), and has been funded by the National Science Foundation, JP Morgan, State Street, Morgan Stanley, Swiss Re, American Express, Moody's, and several other organizations.
This episode is a unique educational listen that invites us to think about how machine learning is enabling industry innovation and powerful tools that can solve important problems arising in fixed-income and credit markets.
View all episodes
By SquirroSpotlight Three is a snippet from our upcoming episode: Kay Giesecke - Deep Learning in Fixed Income Markets. Listen to the full episode as soon as it comes out, by subscribing to Redefining AI.
Who is Kay Giesecke?
Kay is the Founder, Chairman and Chief Scientist at Infima. He is also Professor of Management Science & Engineering at Stanford University, the director of the Advanced Financial Technologies Laboratory, and the director of the Mathematical and Computational Finance Program.
Kay serves on the Governing Board and Scientific Advisory Board of the Consortium for Data Analytics in Risk. He is a member of the Council of the Bachelier Finance Society. He is a financial technologist interested in solving the challenging modeling, statistical, and computational problems arising in fixed-income and credit markets. Together with his students at Stanford, Kay has pioneered the core elements of the deep learning and computational technologies underpinning Infima’s solutions.
Kay’s research has won several awards, including the JP Morgan AI Faculty Research Award (2019) and the Fama/DFA Prize (2011), and has been funded by the National Science Foundation, JP Morgan, State Street, Morgan Stanley, Swiss Re, American Express, Moody's, and several other organizations.
This episode is a unique educational listen that invites us to think about how machine learning is enabling industry innovation and powerful tools that can solve important problems arising in fixed-income and credit markets.