My current research interest focuses on topics between Bayesian statistics and machine learning. I am motivated by techniques for handling missing data, variable selection methods and algorithms for high-dimensional statistical learning. Additionally, I have explored transformations of both low- and high-dimensional data.
Contact:
Positions:
- 2020-2023: Member of Society for Industrial and Applied Mathematics (SIAM) Student Chapter.
- 2019-2022: Graduate teaching assistant in Statistical Methods, Multivariate Statistics and Machine Learning, and Probability 1, Department of Mathematics of The University of Manchester.
- 2017-2019: Assistant at Stylianidis & Associates, Attorneys at Law.
- 2016-2017: Internship as junior statistician at Prolepsis – Institute of Preventive Medicine Environmental and Occupational Health, Athens.
- 2016-2019: Private tutor in English, Mathematics and Statistics courses.
Education:
- 2019-2024 Ph.D. in Statistics under the supervision of Korbinian Strimmer, Department of Mathematics, The University of Manchester, Manchester.
- 2017-2018 M.Sc. in Data Science, Department of Informatics, Athens University of Economics and Business, Athens.
- 2017-2018 Online course: CS50: Introduction to Computer Science, HarvardX.
- 2012-2017 B.Sc. in Statistics, Department of Statistics, Athens University of Economics and Business, Athens.
Publications:
- Nikolopoulou, I. 2024. Investigation of Statistical Learning using Normalising Flows. Ph.D. thesis in Statistics, Department of Mathematics, The University of Manchester, Manchester.
- Nikolopoulou, I. 2018. Removal of salt and pepper noise from RGB and hyperspectral images utilizing clustering techniques. M.Sc. thesis in Data Science, Department of Informatics, Athens University of Economics and Business, Athens.
