Nella Delva

Deliver data analysis, literature and market reviews, and evidence-based reporting to life-science and early-stage digital-health clients on tight, client-driven timelines. Translate client goals into clear research questions and decision-ready written deliverables.

Mentored 30+ students (grades 9–12) through original research projects in neuroscience, molecular and cancer biology, and biomedical science, from question formation to final presentation. Taught experimental design, data analysis and statistics, literature review, and scientific writing in weekly 1:1 video sessions.

Designed and ran quantitative studies, applying hypothesis testing, regression, and group comparisons to large, multi-variable datasets. Cleaned, structured, and analyzed experimental data in Python and statistical software, with reproducibility as a standard.

Led an independent dissertation program, from study design through data collection, statistical analysis, and publication-quality reporting. Integrated behavioral, molecular, and image-based data; made and documented methodological decisions independently.

Analyzed and interpreted gene-expression data on a multidisciplinary cancer-biology team, contributing to publications and grant efforts.

Taught Biological Foundations (BSC1005) and its lab (BSC1005L) to a diverse undergraduate population, including first-generation and returning students. Developed lectures, hands-on lab activities, and assessments aligned to learning objectives; graded and gave individual support.

Taught two undergraduate ecology labs, including lab materials and grading.

Completed a Data Analytics Bootcamp in 2026, covering SQL, Python, BigQuery, Plotly, and machine-learning fundamentals.

Earned a Ph.D. in Biomedical Sciences with a focus on Neurobiology in 2025.

Earned a Master of Science in Biological Sciences in 2015.

Earned a Bachelor of Science in Biology in 2012.