I am a dynamic communicator, passionate senior imaging scientist who enjoys delivering high quality digital pathology projects to customers. I am driven by the insights I can deliver to pre-clinical and clinical investigators using AI-driven feature detection within tissues, multimodal multiplex assays, and custom analysis with R and Python. I earned my PhD from the department of Genome Sciences at The University of Washington. As a post-doctoral fellow under an NIH-T32 training grant (Alzheimer's disease) I investigated a genetic form of neurodegeneration and tauopathy (protein aggregates in the brain) by analyzing gene expression in neuronal models and induced pluripotent stem cells (iPSCs)I enjoy learning about therapeutic areas in neurology, inflammation and aging. I have been able to collaborate in a cross-matrix fashion for several research projects and enjoy interfacing with key opinion leaders.I have experience in:- Digital Pathology-Machine learning and unsupervised clustering. -Using convolutional neural networks, and other AI driven applications in HALO by Indica Labs.-High dimensional data visualization: R, Python-Shiny web app development.- Authoring SOPs-Presenting science to diverse stakeholders - Next-generation sequencing tools in Linux. - Customer service -Induced pluripotent stem cell (iPSC) culture, neuronal differentiation-Fluorescence microscopy-RNA-seq analysis -Functional assays including measuring acidic vesicles-Mass spectrometry using the Q Exactive and LTQ Velos Orbitrab Instruments -Proteomic data analysis-Liquid chromatography -Chemical labeling of peptides for quantification -Phosphopeptide enrichment-Quantitative LC-MS/MS Proteomics -Phosphoproteomics-Immunoprecipitation -Mammalian cell culture -Scientific writing and presentation
Listed skills include Presentation Skills, Chromatography, Computational Biology, Writing, and 44 others.