For more details on registrations and submissions for the Handling High Dimensionality and Infinite Dimensionality, please first login to your account. If you do not have an account then you can create one below:
This workshop provides a focused introduction to the statistical challenges and methods associated with high-dimensional and infinite-dimensional data structures. The course begins with modern regression techniques designed to handle large numbers of predictors, followed by an introduction to functional data analysis (FDA), which converts a vector of observations smooth function. Both sessions combine conceptual discussion with hands-on exercises using datasets provided by the instructors.
Venue Address: Bank Ċentrali ta’ Malta – Central Bank of Malta; Pjazza Kastilja, Valletta VLT 1060, Malta

Associate Professor, University of Malta. Research on functional data analysis, time series and high-dimensional statistics.
David Suda is an associate professor with the Department of Statistics and Operations Research, where he has lectured for several years. He received his Ph.D. from Lancaster University, UK, under the supervision of Prof. Paul Fearnhead, focusing on Bayesian Importance Sampling for Stochastic Differential Equations. His teaching and research interests include time series analysis, mathematical finance, stochastic processes, stochastic optimal control, statistical learning, data science, extreme value theory, computational statistics, computational Bayesian methods, high-dimensional statistics, and functional data analysis. He has supervised numerous undergraduate and postgraduate projects and is currently supervising two Ph.D. students. He has also been involved in EU-funded programmes such as VARCITIES (H2020) and COST Actions DAMOCLES and HiTEc.

Senior Lecturer, University of Malta. Expert in penalised regression and dimension reduction techniques.
Monique Borg Inguanez is a senior lecturer with the Department of Statistics and Operations Research at the University of Malta, where she has held a full-time academic position since October 2006. She has extensive experience teaching statistics at various levels and has supervised numerous undergraduate and postgraduate dissertations. Dr Borg Inguanez earned her Ph.D. in Statistics from the University of Leeds, conducting research on Partial Least Squares and related methods under the supervision of Prof. John T. Kent. In addition to her academic work, she has provided statistical consultation across a range of sectors, including government authorities, medicine, market research, economics, and other scientific disciplines. Her teaching portfolio includes courses in Statistical Inference, Time Series Analysis, Bayesian Statistics, Robust Statistics, and Multivariate Statistics. Her research interests include regularisation in regression and classification, Bayesian statistics, multivariate analysis, statistical modelling, and medical statistics.

Senior Economist Statistician, Central Bank of Malta. Research on monetary statistics and machine learning techniques for financial data.
Fabio Pisano is a Senior Economist Statistician at the Statistics department of the Central Bank of Malta. Between 2018 – 2022 he worked on the AnaCredit project, from 2022 onward on Monetary Statistics. Dr. Pisano obtained his Ph.D. in Law, Education and Development with H.E.I. Pegaso International, under the supervision of Prof. Eugenio Maria Mastropaolo, focusing on the application of ML techniques to the Maltese Central Credit Register.

Economic Statistician, Central Bank of Malta, specialising in international economic reporting and financial risk management.
Mohamed Yagob is an Economic Statistician at the Central Bank of Malta, where he specializes in Balance of Payments statistics, international reserves reporting, and macroeconomic analysis. He holds an M.Sc. in Finance and Insurance from the University of Calabria, Italy, and an M.Sc. in Mathematical Sciences from the African Institute for Mathematical Sciences (AIMS) Rwanda, where he was a Mastercard Foundation Scholar. He received his B.Sc. (Honors) in Actuarial Sciences from Al-Neelain University, Sudan. His professional expertise encompasses international economic reporting to the European Central Bank and IMF, and financial derivatives analysis. His research interests include financial risk management, heavy-tailed distributions and extreme value theory, machine learning applications in finance, graph neural networks, stochastic finance, portfolio optimization, and GARCH family models.
For more details on registrations and submissions for the Handling High Dimensionality and Infinite Dimensionality, please first login to your account. If you do not have an account then you can create one below:
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