I hold a PhD in computational genomics from the University of Minnesota, where my research focused on applying bioinformatics, statistics, and machine learning to genomic data. My background includes biology, genetics, genomics, Python, R, Bash/Linux, statistical genetics, variant calling, GWAS, genotype imputation, and reproducible workflow development using tools such as Snakemake.
I have several years of experience teaching, mentoring, and explaining technical concepts to students and...
I hold a PhD in computational genomics from the University of Minnesota, where my research focused on applying bioinformatics, statistics, and machine learning to genomic data. My background includes biology, genetics, genomics, Python, R, Bash/Linux, statistical genetics, variant calling, GWAS, genotype imputation, and reproducible workflow development using tools such as Snakemake.
I have several years of experience teaching, mentoring, and explaining technical concepts to students and researchers. During graduate school, I served as a teaching assistant for a graduate-level statistics course, led a hands-on workshop on variant calling and genome-wide association studies, and regularly helped lab members and collaborators troubleshoot bioinformatics workflows, coding issues, and data interpretation questions. I have worked with undergraduate students, graduate students, and researchers with varying levels of computational experience. I have been a guest lecturer in an undergraduate Animal Genetics course and in a graduate biostatistics course. I have also done private tutoring for a graduate student for the same biostatistics course.
My tutoring approach is patient, practical, and individualized. I focus on helping students understand the logic behind the material rather than just memorizing steps. For coding and data analysis topics, I often work through examples with students, help them interpret errors, and teach them how to break problems into manageable pieces. For biology and genetics topics, I emphasize clear explanations, diagrams or analogies when useful, and practice applying concepts to real problems.
I can help with subjects including general biology, genetics, genomics, bioinformatics, R, Python, command line/Linux basics, statistics/biostatistics, genomic data analysis, and scientific writing or research organization. My goal is to help students build confidence, understand difficult material more deeply, and become more independent problem-solvers.
