I have recently finished my PhD in Computer Science at University College London. My advisors were Profs Niloy J. Mitra, Marie-Paule Cani and Jean-Claude Léon. I spent the first year of my PhD at Inria in the IMAGINE team, and 3 months at Adobe as a research intern (mentored by Amanda Ghassaei and Matt Fisher). I was also a postgraduate teaching assistant for 3 years, for the course “Introduction to Machine Learning” (taught by Prof Iasonas Kokkinos). My research primarily focused on computational design methods applied to problems at the intersection of art and engineering. I have published in venues such as Transactions on Graphics (SIGGRAPH) and Computer & Graphics.
PhD in Computer Science, 2020
University College London, UK
MSc in Executive Engineering, 2015
Mines ParisTech, France
Scientific Preparatory Class, 2012
Lycée Masséna, France
Topic: Generative modeling of chain reaction contraptions
Course: Introduction to Machine Learning (COMP0088)
Topics: regression & classification, SVM, boosting, neural networks (shallow/deep), PCA, K-means, mixtures of Gaussians
Tools: Python 3 (Jupyter, Matplotlib, Num/Scipy, Pytorch, Scikit-learn)
Topic: Data-driven structure-aware shape synthesis for the semantic reconstruction of indoor scenes from RGB-D data
Wrote an algorithm to generate new 3D models from an existing dataset, in C++ (Eigen, OpenCV, PCL).
Topic: Shape reconstruction and body-dimension measurements of cetaceans from 3D sonar scanner data
Created a point cloud processing pipeline (registration, filtering, segmentation, mesh reconstruction), in MatLab & C++ (PCL).
Topic: Road marking detection and rendering from 3D lidar data acquired with a mobile mapping system
Implemented an image processing pipeline, in C++ (OpenCV).