- Doing my PhD at LAMP, EPFL.
- A type theorist apprentice. Scala's type system is my primary focus. Developing the next generation of Capturing Types to bring resource and effect tracking to the masses.
- When I'm not occupied with doing induction, induction and induction on derivation trees, I submit patches to the Scala 3 compiler.
- Before diving into PL, I did research in machine learning, more specifically graph neural networks and pretraining LLMs for coding and theorem proving, during which I wrote a lot of Python.
Highlights
- Pro
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PyGCL/PyGCL
PyGCL/PyGCL PublicPyGCL: A PyTorch Library for Graph Contrastive Learning
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CRIPAC-DIG/GRACE
CRIPAC-DIG/GRACE Public[GRL+ @ ICML 2020] PyTorch implementation for "Deep Graph Contrastive Representation Learning" (https://arxiv.org/abs/2006.04131v2)
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easter-mips/EasterCache
easter-mips/EasterCache PublicA full-featured MIPS cache implemented in Chisel3.
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