• Built pipelines using R, Python, and DVC to process clinical genomic data, and build causal AI disease specific Digital Twins to increase software reusability

• Assembled Python packages to streamline the biological and literature search process to validate drug targets using

Git, GraphQL, requests, Beautiful Soup, unittest, and Pandas by processing thousands of genes automatically

• First authored abstract that validated 3 genes as causal predictors of survival in Multiple Myeloma patients using causal inference and survival analysis regression to reach company goal, and increase visibility at ASH conference

• Collaborated with multiple colleagues to standardize procedure to evaluate clinical data as part of stage 1 RnD and Precision Medicine collaborative process to take data from deliverable format to trained machine learning model