Dr. Bui Ngoc Mai
Raised in a small town in Hanoi, Mai moved to live and study in the United Kingdom from 2011. Mai completed her Msci degree in Mathematics and Statistical Science at the University College London (UCL) in 2017. She then received the UCL’s Research Excellence Scholarship to undertake doctoral research at UCL. In 2022, she was awarded the degree of Doctorate of Philosophy with the thesis titled, “Inference on Riemannian Manifolds: Regression and Stochastic Differential Equations”. Towards the end of her PhD, she moved to the department of Applied Health Research at UCL to work in the field of Early Cancer Detection.
Mai is interested in Riemannian geometry and stochastic processes. Past work is on inference for regression on Lie groups and stochastic differential equations (SDEs) on manifolds and their applications. Mai is also interested in statistical models and simulation methodologies applied in Cancer Early Detection Research, particularly multi-state models.
ACADEMIC QUALIFICATIONS
- Doctor of Philosophy (2017 – 2022)
University College London, England (UK)
Thesis: Inference on Riemannian Manifolds: Regression and Stochastic Differential Equations. - Master of Higher Education (Msci) (2013-2017)
University College London, England (UK) - A-level (2011-2013)
Chichester College, England (UK)
PROFESSIONAL APPOINTMENTS
- British University Vietnam (BUV)
Lecturer at School of Business (2023 – Current) - University College London (UK)
Research fellow (2021-2023)
Research assistant (2021)
Teaching assistant (2018-2020)
Transition mentor (2014)
RESEARCH AREAS / FIELDS
- Riemannian geometry & Stochastic processes
- Multi-state models & Cancer Early Detection Research
RESEARCH PUBLICATIONS
- Bui, M. N., Pokern, Y., & Dellaportas, P. (2023).
Inference for partially observed Riemannian Ornstein–Uhlenbeck diffusions of covariance matrices. Bernoulli, 29(4), 2961-2986. - Bui, M. N. (2022).
Inference on Riemannian Manifolds: Regression and Stochastic Differential Equations. (Doctoral dissertation, UCL (University College London).
RESEARCH & CONFERENCE PRESENTATIONS / EXHIBITIONS
- Bui, M. N. (2023)
Inference for partially-observed Riemannian Ornstein-Uhlenbeck diffusions of covariance matrices.
Greek stochastic conference (oral presentation)
Naxos, Greece. - Bui, M. N. (2022)
Non-homogeneous multi-state Markov models: A simulation scheme for evaluating cancer screening strategies.
2022 Early Detection of Cancer Conference (poster presentation)
Portland, USA. - Bui, M. N. (2021)
Inference for partially-observed Riemannian Ornstein-Uhlenbeck diffusions of covariance matrices.
Oberwolfach workshop titled “Statistics of Stochastic Differential Equations on Manifolds and Stratified Spaces” (oral presentation).
Oberwolfach, Germany. - Bui, M. N. (2021)
Statistical inference for covariance matrices with applications in finance.
International Statistics Institute (ISI) World Statistics Congress (oral presentation – online).
AWARDS & HONOURS
- Costas Goutis prize (2021)
Department of Statistical Science, University College London, UK
‘For the best upgrade paper and presentation when undertaking doctoral research’ - UCL’s Research Excellence Scholarship (2017)
Department of Statistical Science, University College London, UK
‘For outstanding scholars to undertake doctoral research at UCL.’ - IMA graduate prize winner (2017)
Department of Mathematics, University College London, UK
‘For outstanding performance on the mathematical qualification’. - Barlett prize (2016)
Department of Mathematics, University College London, UK
‘For best mathematics and statistics finalist’. - Nazir Ahmad prize (2015)
Department of Mathematics, University College London, UK
‘For student gaining the best results in the third year of an Msci degree’.
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