Ian N

I am a recent Master of Science in Biostatistics graduate with hands-on experience applying statistical computing, mixed-effects modeling, and machine learning to longitudinal, clinical, and genomic datasets. I have completed multiple R- and Python-driven projects—ranging from multilevel modeling of large longitudinal samples to random forest analyses of genomic and video-performance data—that produced actionable predictors and strong model fits.

I bring practical data-management and visualization skills (R, Python, SAS, RStudio, Excel), teamwork developed as a Division I student-athlete and coach, and a commitment to translating data into insights that improve outcomes and operational efficiency. I seek opportunities where I can apply rigorous statistical methods to real-world health or population datasets and contribute to data-driven decision making.