I'm a highly skilled and experienced bioinformatician and computational chemist with a PhD in Chemistry from the University of Rochester. My areas of expertise include analytic chemistry, bioinformatics, and computational modeling. I'm an enthusiast for NWChem, but I've used Gaussian for quantum mechanics and AMBER for molecular dynamics.Throughout my career, I've gained extensive experience in a variety of scientific research projects, utilizing cutting-edge technologies and techniques to deliver high-quality results. I've worked on projects involving RNA-Seq and Bisulfite sequencing, as well as microarray and whole-genome NGS data. I have a strong background in high-performance cluster computing, and have used programming languages such as C, Perl, R, and Python for data analysis and machine learning.My research has been published in many scientific journals, and I've had the opportunity to present my work at conferences and meetings across the country. I'm particularly proud of my work developing Defiant, a program designed to identify and annotate differentially methylated regions from bisulfite-sequencing experiments, which was published in BMC Bioinformatics.As a Lead Computational Bioinformatics Analyst at Sanford Health, I developed computational pipelines for clinical application of RNA-Seq, used machine learning and artificial intelligence to study patient data, and worked on precision medicine initiatives using patient genetic data.In my most recent role as a research scientist at the University of Idaho as a Research Scientist, I have created a pipeline called HitList that identifies targetable proteins that can be a first step in rational drug design. I have discovered several new proteins that are viable anti-fungal targets.I'm passionate about using my skills and expertise to make a positive impact in the scientific community. I'm always looking for new challenges and opportunities to collaborate with other professionals in the field.