A short note about working with me
My research lies at the intersection of very different fields of mathematics and is driven by data. I really like both theoretical and computational mathematics, so am happy to work with students coming from either side of the spectrum with an interest in the other. Concretely, this means that you should have a healthy appreciation for pure mathematics (ability to read and write proofs) and no fear of computation (ability to code in your language of choice), as well as enthusiasm for data and applications. I am also happy to work with data practitioners, but in more of a collaborative role (rather than supervisory): if you have data and are interested in using my methods on them, I'm happy to talk!
I am a strong believer in Federico Ardila's axioms and strive to abide by these principles in all of my collaborative work and supervisory work with students:
Mathematical potential is distributed equally among different groups, irrespective of geographic, demographic, and economic boundaries
Everyone can have joyful, meaningful, and empowering mathematical experiences
Mathematics is a powerful, malleable tool that can be shaped and used differently by various communities to serve their needs
Every student deserves to be treated with dignity and respect
MSc and MSci Projects
I am also available to work with and guide students at Imperial who are looking for mentors for their MSc and MSci (M4R) projects. Some ideas for projects are computational in nature, involving ideas from and applications in computational topology and numerical algebraic geometry; theoretical, in the way of developing methodology for data analysis and computations; as well as applied, involving data analysis of real data sets, particularly ones arising from biology. Please send me an email to discuss possibilities.
PhD Applicants
I am affiliated with the following Centres for Doctoral Training (CDT) and available to work with and guide students enrolled in these programs:
Joint Imperial and Oxford CDT in Modern Statistics and Statistical Machine Learning
Joint Imperial and Oxford CDT in the Mathematics of Random Systems
In addition, there are various funding opportunities for PhD studentships available at Imperial College.
Postdoctoral Researchers
There are various fellowship opportunities to which excellent candidates can apply. These awards generally include salary and research funding, as well as the opportunity to work with a faculty member selected by the candidate. If you're interested in working with me in such a framework, please check out the following calls and get in touch with me:
Chapman Fellowships funded by Imperial College (oriented more towards mathematics)
University Research Fellowships funded by The Royal Society (oriented more towards mathematics, and for second postdocs)
Sir Henry Wellcome Postdoctoral Fellowships funded by the Wellcome Trust (oriented more towards biomedical research)
MRC Fellowships funded by the UK Medical Research Council (oriented more towards biomedical research)