I am a fifth-year Ph.D. candidate in Statistics at the Department of Statistics and Data Science, Washington University in St. Louis, advised by Prof. Robert Lunde.

Prior to WashU, I completed my M.Sc. in Statistical Science at the Department of Statistics, University of Oxford, and obtained my B.Sc. (First-Class Honours) in Statistics from the School of Mathematics & Statistics, University of Glasgow, where I worked with Dr. Tereza Neocleous on my undergraduate thesis.

I received the SAS Prize for Best Undergraduate Performance and the C.E. Strachan Will Trust Scholarship in Science and Engineering.

My research focuses on statistical inference for network-linked and dependent data, with methodological interests in resampling methods, asymptotic theory under network dependence, and distribution-free inference. I am also broadly interested in applying statistical and machine learning methods to neuroimaging and brain network modeling.

• Ph.D. in Statistics (2021-Present)

Washington University in St. Louis, St. Louis, USA

• M.S. in Statistical Science (2017-2018)

University of Oxford, Oxford, UK 

• B.S. in Statistics (2013-2017)

University of Glasgow, Glasgow, UK