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Hao Ni is a Professor of Mathematics at University College London (UCL) and co-investigator for the EPSRC Program grant focused on unparameterised multi-modal data, high order signatures, and the mathematics of data science. He leads the UCL Rough Path Theory Machine Learning Group and serves as co-director for the EPSRC Centre for Doctoral Training in Collaborative Computational Modelling at the Interface (CCMI). Dr. Ni has completed a DPhil in Mathematics from the University of Oxford and has held postdoctoral positions at the Institute for Computational and Experimental Research in Mathematics (ICERM) at Brown University and the Oxford-Man Institute of Quantitative Finance. He was an Associate Professor in the Financial Mathematics Group at UCL from 2016 to 2022. In addition to his academic work, he organizes digital data hackathons focusing on trustworthy synthetic time series generation and has initiated the WINDSMATH seminar series aimed at promoting research by women and non-binary scholars in mathematics and data science.
University College London • United Kingdom
Professor of Mathematics and leader of the UCL Rough Path Theory Machine Learning Group.
University College London • United Kingdom
Associate Professor in the Department of Mathematics.
University of Oxford, Oxford-Man Institute of Quantitative Finance • United Kingdom
Held a senior postdoctoral position focusing on quantitative finance.
University of Oxford, Oxford-Man Institute of Quantitative Finance • United Kingdom
Conducted postdoctoral research in the area of quantitative finance.
Brown University, ICERM Applied Mathematics Department • United States
Visiting researcher in the Institute for Computational and Experimental Research in Mathematics.