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a-r-j/README.md

Hi there 👋

  • 🔭 I’m a PhD student at the University of Cambridge. I work on deep learning applied to structural biology and drug discovery.

  • I'm currently doing things with proteins at Genentech / Roche / Prescient Design

  • Previously, I was a visiting researcher at EPFL and MILA, AI Resident at X - The Moonshot Factory (formerly Google X) and an ML Consultant at Relation Therapeutics.

  • 🌱 I’m currently developing Graphein, a data processing library for geometric deep learning in biology.

    • Graphein supports construction and featurisation of:
      • Protein structure graphs
      • Protein meshes
      • Small molecule graphs
      • RNA structure graphs
      • Protein-protein interaction graphs
      • Gene regulatory interaction graphs
  • 📫 How to reach me:

Pinned Loading

  1. graphein Public

    Protein Graph Library

    Jupyter Notebook 1.1k 133

  2. ProteinWorkshop Public

    Benchmarking framework for protein representation learning. Includes a large number of pre-training and downstream task datasets, models and training/task utilities. (ICLR 2024)

    Python 231 18

  3. molstar/VSCoding-Sequence Public

    VSCode Extension for interactively visualising protein structure data in the editor

    TypeScript 103 10

  4. BioPandas/biopandas Public

    Working with molecular structures in pandas DataFrames

    Python 723 121

  5. CPDB Public

    Cython implementation of PDB -> DataFrame parsing

    Cython 23

  6. leojklarner/gauche Public

    A Library for Gaussian Processes in Chemistry

    Jupyter Notebook 223 24

59 contributions in the last year

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Activity overview

Contributed to a-r-j/graphein, a-r-j/jamasb.io, BioPandas/biopandas and 6 other repositories
Loading A graph representing a-r-j's contributions from March 24, 2024 to March 27, 2025. The contributions are 55% commits, 21% pull requests, 20% code review, 4% issues. 20% Code review 4% Issues 21% Pull requests 55% Commits

Contribution activity

March 2025

Created 1 commit in 1 repository
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