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Adam Sykulski supervises 5 postgraduate research students. If these students have produced research profiles, these are listed below:

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Dr Adam Sykulski

Lecturer in Data Science

Adam Sykulski

Faraday Building



Tel: +44 1524 593450

Research overview

Adam is a statistician and data scientist with a focus on spatiotemporal statistics. Adam's application interests include oceanography and fluid dynamics, biomedical sciences, planetary geophysics, and revenue management. Methodological interests span time series and spatial statistics, including frequency-domain analysis, stochastic modelling, parameter estimation, simulation, and hypothesis testing.

PhD supervision

I am interested in supervising PhD students in the broad areas of time series and spatial statistics. Proposals are welcome in developing methodological and computational advances in space-time “big data” analysis, as well as the application of such methods in areas including oceanography, climate, public health, and finance.

My Role

Programme co-Director, MSc Data Science

Seminar Organiser, Data Science Institute

Early Career Representative, Lancaster University Research Committee

External Roles

- Discussion Papers Editor, Journal of the Royal Statistical Society

- External Examiner, University of Liverpool

- Working Group Member, US Climate Variability and Predictability Program, Ocean Uncertainty Quantification

- Member, Environmental Statistics Committee, Royal Statistical Society

Current Teaching

MATH104 Statistics

PhD Supervisions Completed

Dr Arthur P Guillaumin (UCL, 2014-2017)

Career Details

2007 MSci Mathematics (Imperial College London)

2007-08 Corporate Analyst (Lazard, London)

2008-11 PhD Mathematics (Imperial College London)

2011-14 PostDoctoral Research Associate (Univesity College London)

2014-16 Marie Curie Sklodowska Fellow (NorthWest Research Associates, Seattle, USA)

2016-17 Marie Curie Sklodowska Fellow (Univesity College London)

2017- Lecturer in Data Science, Lancaster University

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