Kyle Ferchen

Background

About Kyle Ferchen

I am a computational biologist with over 5 years of experience in applying machine learning with Python and R to biomedical research problems. My work as a graduate student is focused on the integration of multi-omics single-cell datasets to understand the gene regulatory mechanisms that control lineage decisions in blood cell development. Software Skills- Machine Learning Models (Python/R/C++, regression, gradient boosting trees, neural networks)- Data visualization (ggplot, matplotlib, seaborn, D3-JavaScript)- Flow Cytometry (FlowJo, Spectroflow, Python/R)- Microsoft Excel, Prism, MatLab Hands On Experience- High parameter conventional and spectral flow cytometry - Next-generation sequencing (scRNA-seq, ATAC-seq, CITE-seq, TEA-seq, ChIP-seq, CUT & Tag, CUT & Run)- General cell culture and lab maintenance