Bioinformatics Research Assistant
Current- Perform bulk RNA Sequencing, mass spectrometry-based proteomics, and microbiome analysis on in vivo mouse models as well as publicly available patient data with R and Linux- Collect Electronic health records (EHR) of patients from Epic hospital records to fit survival analysis models for epidemiological research on prostate cancer and metabolic dysfunction with SQL and Python- Extract color and texture features from Immunohistochemistry (IHC) stained Tissue Microarrays (TMA) and use machine learning models to classify and predict prostate cancer stages- Automate IHC staining and steatosis quantification and improve quantification efficiency with Java