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About me: I am a Ph.D. candidate in the Department of Materials Science and Engineering at MIT, advised by Prof. Rodrigo Freitas. Prior to MIT, I graduated with an BSc. in Mathematics and Physics from McGill University in 2021. I am originally from Cannes, a beautiful city nestled in the South of France.
Research interests: My research interests lie at the intersection of materials science, machine learning and mathematics. Broadly, I am interested in combining data science techniques with cross-scale atomistic simulations to unravel physical phenomenon at an unprecedented resolution. I also enjoy designing computational workflows facilitating the characterization and discovery of materials.
Featured work
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killiansheriff/LovelyPlots
Matplotlib style sheets to nicely format figures for scientific papers, thesis and presentations while keeping them fully editable in Adobe Illustrator.
Python 832 -
killiansheriff/DemistifyingE3NN
A blog post on E(3)-equivariant Neural Networks.
Jupyter Notebook 8 -
killiansheriff/AtomisticReverseMonteCarlo
OVITO Python modifier to generate bulk crystal structures with target Warren-Cowley parameters.
Python 19 -
killiansheriff/WarrenCowleyParameters
OVITO Python modifier to compute the Warren-Cowley parameters.
Python 21 -
killiansheriff/NShellFinder
Ovito Python modifier to find the n-th coordination shell neighbors.
Python 6 -
killiansheriff/ChemicalMotifIdentifier
A Python package to perform a chemical motif characterization of short-range order.
Python 10