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🔭 I’m a PhD student at the University of Cambridge. I work on deep learning applied to structural biology and drug discovery.
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I'm currently doing things with proteins at Genentech / Roche / Prescient Design
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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.
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🌱 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
- Graphein supports construction and featurisation of:
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📫 How to reach me:
- twitter: @arian_jamasb
- my website: jamasb.io
- linkedin: in/jamasb
- email: arian@jamasb.io
🦦
ML Scientist @PrescientDesign / Tensor Jockey / PhD @ University of Cambridge
Prev: MILA, X - The Moonshot Factory (FKA Google X), Relation Therapeutics
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University of Cambridge
- Basel
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07:02
(UTC +02:00) - jamasb.io
- @arian_jamasb
Highlights
- Pro
Pinned Loading
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ProteinWorkshop
ProteinWorkshop PublicBenchmarking framework for protein representation learning. Includes a large number of pre-training and downstream task datasets, models and training/task utilities. (ICLR 2024)
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molstar/VSCoding-Sequence
molstar/VSCoding-Sequence PublicVSCode Extension for interactively visualising protein structure data in the editor
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BioPandas/biopandas
BioPandas/biopandas PublicWorking with molecular structures in pandas DataFrames
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leojklarner/gauche
leojklarner/gauche PublicA Library for Gaussian Processes in Chemistry
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