Adam Sykulski

Adam Sykulski is a Senior Lecturer in Statistics at the Department of Mathematics, Imperial College London, within the Faculty of Natural Sciences. His research focuses on time series and spatiotemporal statistics, particularly spectral analysis and Fourier methods, applied to environmental and oceanographic sciences. He holds roles including Trustee of the Royal Statistical Society Council (elected 2024), External Examiner at King's College London, and leads the EPSRC CDT in Mathematics for Future Climate. He has supervised 7 PhD students to completion, with 4 current advisees, and contributed to 32 peer-reviewed publications in top-tier journals like Biometrika and IEEE Transactions on Signal Processing.

Education: PhD and MSci in Mathematics from Imperial College London (2008–2011 and 2003–2007). Professional development includes a Postgraduate Certificate in Academic Practice (2020). Research interests span statistical methodologies for environmental data, oceanographic modeling, and interdisciplinary applications.

Key roles include Partner Investigator in the Australian Research Council’s TIDE project and leadership in equality, diversity, and inclusion initiatives at Imperial College. His work integrates statistical theory with practical challenges in climate science and operational research.