Adrienne Yanez

WORK HISTORY

EDUCATION

ABOUT ADRIENNE YANEZ

Computational Biologist applying machine learning and multi-modal data analysis to accelerate drug development for immuno-oncology and inflammatory diseases. Passionate about leveraging data to advance personalized medicine and deliver novel therapies to patients.Expertise includes: Integrating single-cell RNA-seq, spatial profiling, and multi-omics data to assess immune responses, identify biomarkers, and discover drug targets. Collaborating cross-functionally to deliver data-driven solutions in fast-paced biotech environments. Analysing various data types, including single-cell RNA sequencing, multiparameter immunofluorescence, microRNA expression, whole-exome sequencing, secretome, and high-parameter flow cytometrySKILLS:Data Interpretation: high-dimensional data set analysis, data visualization, gene expression profiling, differential expression, gene set enrichment, real-world data, clinical trial dataProgramming: R proficiency, experienced in Python, high-performance computing, AWSTools: Bioconductor, Seurat, ggplot2, plotly, igraph, PyTorch, Code Ocean, Posit, QuartoDatabases: Single Cell Portal, CELLxGENE, GEO/SRA, TCGA, DepMap, ChEMBLNext-Generation Sequencing: single-cell RNASeq, scRNASeq, microRNA Seq, TCR-seq, bulk RNASeqMolecular Biology: RNA isolation, qPCR/RT-PCR, ddPCR, RNA-protein interactions, protein expression, molecular cloning, in vitro transcription & translation, ribosome bindingCell-Based Assays and Data Analysis: lentiviral transduction, siRNA/shRNA transfection, transwell assays, exogenous gene and reporter expression, microRNA reporter assays