I am a scientist with extensive proven experience in the development of Next Generation Sequencing (NGS; RNA-Seq, ChIP-Seq, Bisulfite Seq) and array-based (Affymetrix, EPIC Array) analytical pipelines using univariate, multivariate, and machine learning methods. I am also skilled in analyzing single-cell NGS datasets (e.g. single-cell RNA-Seq), and the associated tools available to do so. I have proven expertise in the visualization, and interpretation, of results for the end goal of publishing research. I am also an effective communicator, presenting at international and national conferences in poster presentations and talks. I also routinely publish as a primary or co-author in international, peer-reviewed journals. I have worked in non-model and model organisms, generated bioinformatic resources for the scientific community, published peer-reviewed articles, and successfully designed data analysis pipelines to answer various questions related to regeneration biology, disease progression, cancer biomarker identification, sex-based gene expression differences, and ageing research.I am passionate about learning and implementing machine learning methods to advance predictive medicine and advance our understanding of the biology of aging.As an educator, I am passionate about sharing knowledge that balances approachability and accuracy. This is a responsibility I take seriously, as I hope that knowledge transfer opens doors for others to new fields while ensuring accurate knowledge is ingested. I employ this passion through lectures at national and international conferences, and lectures through my faculty positions at the American Board of Precision Medicine and the Geneva College of Longevity Science.