Andrew Buckley, Phd Email & Phone Number

A Ph.D. in Microbiology and Immunology with 13 years of research experience. Experienced in next-generation sequencing and bioinformatics, with proficiency in analyzing genomic data and advancing cell therapy programs. Possesses a unique understanding of diverse microbiomes and bacteriology, providing novel insights into disease mechanisms and cellular interactions. Skilled in stem cell induction, lentivirus creation, and tumor-homing cell therapies, aligned with cutting-edge oncology and immuno-oncology research. Expertise in R programming, dose-response modeling, and Shiny scripting, ensuring efficient data handling, predictive analytics, and result visualization. Capable of managing large-scale datasets and performing high-demand computational tasks.Areas of expertise include Multi-omics Data Analysis, Live Animal Studies, Cell Therapy, R & Python Programming, Oncology & Immunology, Machine Learning, Biostatistics, Molecular Biology, Microbiome, Dose-Response Modeling, Experimental Design & Analytics, and Biological Network Interactions— TECHNICAL SKILLS —Cell Biology: Bacterial (mostly firmicutes), fungal (yeast), and mammalian cell culture handling, growth, and fermentation in small volumes and bioreactors Molecular Biology: PCR (qPCR, Real-time), ELISA, Southern Blot, Protein expression and extraction, Protein purification, Protein characterization, Affinity Chromatography, Immunoprecipitation, Western Blot, EMSA, Flow cytometry (FACS) Live Animal Studies: Mouse, Rat, G. mellonella (waxworm) Data Analysis & Visualization: NGS Data Analysis, R programming, Python programming and scripting, Statistical Analysis, Unix Command line, QIIME, Galaxy, Bioconductor, database navigation, DESeq2, MEGA, MacVector, Data visualization and presentation (e.g., ggplot, shiny, markdown, Quarto), SQL, Microsoft Office Suite (MS Word, MS PowerPoint, MS Excel) for Mac, PC, Linux (Ubuntu/Mint),version control (git,GitHub),cytoscapeScientific Writing & Presentation: 13+ publications, grant application support, posters and presentations at ASM General Meeting, IADR, AADR regional meetings, SNO General Meeting, AGU General MeetingBiostatistics & Computational Modeling: Statistical Analysis, PCA, KNN, nnet, random forest, bootstrap, k-fold cross validation, Poisson models, dose response analysis, drc, linear regression, cytoscape networks Instruments & Analysis: Fluorescence Microscopy, bioreactors, electrophoresis, equipment maintenance

Listed skills include Microbiology, Environmental Microbiology, Pathogenesis, Molecular Biology, and 32 others.