Quality control professional with over two years of experience in cGMP-regulated pharmaceutical and biotech laboratories. M.S. in Bioinformatics from San Jose State University, with hands-on experience spanning molecular diagnostics, genome assembly, and machine learning.
Download ResumeDeveloped a deep learning pipeline combining a convolutional neural network with a Vision Transformer (ViT) architecture in PyTorch to perform automated segmentation of gel electrophoresis images. Trained, validated, and evaluated model performance on annotated gel image datasets.
Built a reproducible Nextflow pipeline for detecting and characterizing sequencing artifacts in long-read human genomic data. Pipeline covered quality control, alignment, artifact identification, and summary reporting across configurable reference inputs.