Eric Goolsby
I'm an academic researcher and data scientist with over a decade of experience in research methodology, statistical programming, R package development, and analyzing complex biological datasets. With a strong background in teaching, research mentoring, and statistical consulting, I can support projects from a wide variety of disciplines.
REVIEWS FROM CLIENTS
• Taught upper-level undergraduate and graduate courses including an R-based introduction to data science, Bayesian multilevel modelin...
• Taught upper-level undergraduate and graduate courses including an R-based introduction to data science, Bayesian multilevel modeling in Stan, and genomics and biochemistry, all of which emphasized data analysis, visualization, version control, and other computational skills important for biologists.
• Led a diverse research team of undergraduate, graduate, and postdoctoral-level researchers in conducting projects in bioinformatics, plant science, and evolutionary biology.
• Oversaw the allocation of a $500,000 research budget.
• Extended machine learning techniques (LASSO, ridge, and SVM regression) to incorporate random effects and account for autocorrelation for high-throughput trait prediction models.
• Authored several high-impact scientific papers and presented work at local, regional, and international conferences.
• Mentored over 30 undergraduate and graduate students, fostering their development in computational biology and research methodologies.