I will be presenting at NeurIPS 2018, Montreal,Canada. my paper on Modelling sparsity, heterogeneity, reciprocity and community structure in temporal interaction data.
I am a PhD student in the Computational Statistics and Machine Learning group, at the Department of Statistics of the University of Oxford working with Francois Caron and Yee Whye Teh.
I am a student in the Center for Doctoral Training in modern statistical science.
From January 2019 I will also be affiliated with the The Alan Turing Institute in London.
I am currently on an internship as a Data Scientist at Google.
In spring 2018 I was a visiting research student at the Courant Institute of Mathematical Sciences at New York University.
Previously, I completed a BSc in Mathematics at Imperial College London and the Part III of the Mathematical Tripos at the University of Cambridge.
My research intersts lie in statistical machine learning with current focus on Bayesian Non parametric methods and models. My work so far is in the area of statistical network modeling. I am interested in graph models for the whole range of dense to sparse networks that can discover network features and characteristics often found in real world networks.