Dr. Georgios Aivaliotis is a Lecturer in the School of Mathematics at the University of Leeds, part of the Faculty of Engineering and Physical Sciences. His work bridges theoretical and applied domains in probability, statistics, and machine learning, with strong applications in financial and actuarial sciences and data analytics. His research focuses on: Stochastic control in portfolio selection and agent remuneration Robust temporal pattern mining from time-stamped data Data analytics with applications in fintech and survival analysis Modeling heterogeneous temporal datasets His recent work is supported by major grants including the EPSRC-funded QuantiCode project and an Alan Turing Institute initiative on modeling joint effects in temporal, heterogeneous data. These projects involve collaboration with industry partners such as CallCredit, Jet2, and Leeds City Council. He is recognized as an Alan Turing Fellow, highlighting his contributions to data science and interdisciplinary research. His work emphasizes both methodological innovation and real-world impact. Dr. Aivaliotis has played a key role in academic leadership and curriculum development, having led the design and accreditation of the BSc Actuarial Mathematics program and contributed to the MSc Financial Mathematics and the new MSc in Financial Technologies. He teaches across undergraduate and postgraduate programs in financial and actuarial mathematics. He is affiliated with the Research Group in Probability, Stochastic Modelling and Financial Mathematics and is an associate member of the Leeds Institute for Data Analytics (LIDA). His current postgraduate researchers include Baitshephi Mashabe, Yaojun Zhang, Alfensi Faruk, and Mingrui Zhang.







