Stochastic and Machine Learning in Finance, Econometric Risk Modeling, and Other Sciences

21 - 23 February 2024

About Conference

Stochastic calculus finds so extensive applications and enables us to analyze various phenomena affected by random factors, such as asset price movements, option pricing, risk assessment, and geopolitical or climate risks. Moreover, stochastic calculus's effectiveness extends beyond finance, with its use in physics, biology, engineering, and economics, where it helps describe and analyze systems influenced by random events.

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Prof. Nicolas Privault, 

Nanyang Technological University, Singapore


Prof. Stephane Goutte,

University of Paris-Saclay, France


Prof. Rustam Ibragimov

Imperial College London, United Kingdom


Dr. Guillaume Leduc

American University of Sharjah, UAE


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Jan 31, 2024