Andrew Browne, Ph.D.
I'm a scientist with a Ph.D. in Neuroscience and 12 years of experience bridging computational, systems, cellular, and molecular biology to tackle complex challenges in human health. I am always looking for new and innovative projects that demand critical thinking and creative problem-solving.
Select Projects and Publications
Single-cell Transcriptomics Classifier
Leveraging single-cell transcriptomics to develop a robust and versatile workflow for the identification of prognostic classifiers.
Somatic-IV Analysis in Cancer Progression
Novel methodology integrating genetic, transcriptomic, and clinical outcome data to identify candidate driver genes in cancer progression.
Neural Signatures in Phelan-McDermid Syndrome
Transcriptional analysis of patient-derived neural cells revealing altered Wnt signaling pathways in autism spectrum disorders.
Seattle Alzheimer's Disease Brain Cell Atlas Explorer
An interactive streamlit dashboard for exploring multiomic single-nucleus data from the Seattle Alzheimer's Disease Cohort (SEA-AD).
Spatial Tissue Phenotyping in NSCLC
Development of unsupervised graph learning methods to identify clinically relevant spatial phenotypes in multiplex immunofluorescence data.
Predictive Financial Models with PyTorch
Creating predictive financial models with option chain data and PyTorch neural networks for advanced market analysis and forecasting.
Molecular Profiling in Prostate Cancer
Integrative analysis identifying biomarker profiles that predict immunotherapy response in high-grade primary prostate cancer patients.
Fedratinib Biomarker Analysis
Analysis of cytokine changes correlating with clinical response in myelofibrosis patients from the FREEDOM trial.
Polygenic Risk in Schizophrenia
Analysis of gene expression in dorsolateral prefrontal cortex revealing functional impacts of polygenic risk variants in schizophrenia.