I am a PhD student and tutorial demonstrator in the School of Mathematics and Statistics at The University of Sheffield. I study interactions between algebraic geometry and combinatorics, in particular understanding topological properties of orbifold Hilbert schemes via core and quotient partitions and G-constellations.
My broader academic interests include machine learning, its interplay with mathematics and statistics, and applications to data science. I have working experience in data analysis using Python, SQL, and mongoDB.
(Future) PhD in Mathematics, 2020
The University of Sheffield
MMath in Mathematics, 2016
University of Warwick
I am a teacher and a communicator, explaining technical concepts to students of all backgrounds and ages. I have given lectures and seminars, and led tutorials and coding sessions, both professionally and as a volunteer.
I am proficient in Python and key packages which form the basis of the data scientist’s toolkit (pandas, scikit-learn, Tensorflow). I have completed projects involving web scraping, data analysis and interfacing with SQL and mongoDB.
I solve problems using software tools, including version control (git), web development, database management, numerical programming (Matlab, Sage), and cloud computing (Collab, CoCalc).
Responsibilities and achievements include: