I am excited about complex interdisciplinary problems in Biomedicine that can be tackled with learning-based systems. I am especially interested in the application of Graph Neural Networks (GNN) in biomedical research.
Machine Learning researcher. Deep learning for drug discovery and development. Interested in Artificial Life.
- Stockholm, Sweden
- amanzadi.github.io
- @Amanzadi
- in/amanzadi
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decagon
decagon PublicForked from mims-harvard/decagon
Graph convolutional neural network for multirelational link prediction
Jupyter Notebook
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GraphDTA
GraphDTA PublicForked from thinng/GraphDTA
GraphDTA: Predicting drug-target binding affinity with graph neural networks
Python
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graph_coattention
graph_coattention PublicForked from andreeadeac22/graph_coattention
Work on designing a graph co-attention algorithm.
Python
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TDC
TDC PublicForked from mims-harvard/TDC
Therapeutics Data Commons: Machine Learning Datasets for Therapeutics
Jupyter Notebook
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