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Bradley-Buchner/README.md

👋 Hi! I'm Bradley, a UNC-Chapel Hill and Northeastern trained computational bioengineer interested in all things AI and biology. As a lab research assistant at Northeastern University, I apply methods in deep learning to study the genetics of aging.

Lately, I've been...

  • 🧬 building SynergyGT: a graph transformer model for predicting pairs of gene perturbations that synergistically alter lifespan in the roundworm C. elegans.
  • evaluating biVI: a generative model for scRNA-seq data grounded in the biophysics of transcription.
  • 🤖 contributing to INDRA: an automated knowledge assembly system for molecular biology.
  • 🕸️ working with Mutual Interactors: a network-based machine learning framework for predicting phenotype associations in molecular networks.

🏀 Ask me about my love for UNC Basketball or my admittedly pretentious appreciation of craft beer! You can reach me at [email protected].

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  1. worm_synergy worm_synergy Public

    SynergyGT is a multi-modal graph transformer that integrates gene regulatory network topology, gene-phenotype associations, and genetic perturbation data to predict synergistic gene-gene interactions

    Jupyter Notebook

  2. gyorilab/indra gyorilab/indra Public

    INDRA (Integrated Network and Dynamical Reasoning Assembler) is an automated model assembly system interfacing with NLP systems and databases to collect knowledge, and through a process of assembly…

    Python 203 73

  3. milieu_worm milieu_worm Public

    Graph-based machine learning implementation for studying genotype-phenotype relationships in C. elegans

    Jupyter Notebook

  4. cs7170_project cs7170_project Public

    Jupyter Notebook