Dr. Kirill Golubnichiy

Research Interests

Financial Mathematics, Mathematical Physics, Partial Differential Equations

Biography

Dr. Golubnichiy develops mathematical tools for analysing PDEs that govern pricing of financial assets, and works on inverse problems with broad applications in physics. He develops computational and machine learning algorithms to analyse the forecasting power of these analytic methods.