• Employed PCR, cloning, sequencing, and CRISPR-Cas9 techniques to create a Covid-19 resistant rat• Analyzed genomes and designed PCR primers using SnapGene software to discover a mutation in the Huntington's disease gene of rats• Handled lab animals and performed necessary dissections for use in genetic studies• Currently genetically engineering a rat with my genotype to explore the basis of a complex hereditary disease

• Developed proficiency in the R and Linux command line programming languages• Analyzed DNA of 16,000 ancient individuals with R via principal component analyses, genomic relationship matrices, and genome-wide association studies• Used generation-proxy selection mapping with radiocarbon date as the dependent variable to correlate time and genotype• Discovered over 800 variants with genome-wide significant associations with radiocarbon date, demonstrating the history of polygenic selection in humans

• Selected as a Cherng Scholar by the MU Honors College to complete research under a faculty mentor• Devised activities to illustrate the concepts of sensitivity and specificity in laboratory testing to pre-health students• Utilized Excel to synthesize graphs that model sensitivity and specificity in household objects and anthropometric measurements• Published “Making Sense of Sensitivity: Using Candy and Anthropometric Data to Visually and Manipulatively Illustrate Sensitivity, Positive Predictive Value, and Related Terms,” Journal of Microbiology & Biology Education, 2022

• Managed three graduate students conducting tick collection studies in rural Missouri• Coordinated with Missouri Department of Conservation to secure licensing to collect insects on state property• Cataloged finances for the project and devised strategies to reduce spending

• Collected personal information from 150 patients receiving Covid-19 vaccines through phone interviews• Organized post-vaccination antibody production data into Excel spreadsheets and REDCap software

• Computationally predicted coding and non-coding variant affects in S. cerevisiae and C. elegans model organisms• Generated hypotheses of genetic variant effects using deep convolutional neural networks• Aligned 332 yeast assemblies and computed PhyloP scores on genetic variants• Presented findings at program's poster session