To do: First post will be a visualization of the Ising Model
I am currently pursuing a PhD in Computer Science under the supervision of Prof. Vincent Danos and Prof. Guido Sanguinetti. Previously, I was a software developer at J.P. Morgan in London. I graduated in 2014 with a Bachelor in Computer Science and Physics and worked on theoretical Quantum Computing with Prof. Elham Kashefi.
My research focus is in combining Optimal Transport theory with machine learning and probabilistic modelling for metric learning, with applications to biological datasets. I am also interested in the application of data science and machine learning to healthcare data.
PhD in Computer Science, 2019
The University of Edinburgh
Exchange student, 2016
ENS Paris
BSc in Computer Science and Physics, 2014
The University of Edinburgh
Mon, Apr 3, 2017, Group colloquium
Looking at NHS Health Data over 15 years
RBM as a generative model
Predicting survival for brain tumor patients by analyzing clinical data
Before my PhD I was a STEM Ambassador and I tutored in Maths for IB students.
Roles at University of Edinburgh:
Tutor and Demonstrator:
IAML [2017-2018]
Tutoring on logistic regression, decision trees, clustering and dimensionality reduction techniques.
MLP [2017-2018]
Guiding students through the implementation of deep neural networks